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<front>
<journal-meta>
<journal-id journal-id-type="issn">2767-0279</journal-id>
<journal-title-group>
<journal-title>Glossa Psycholinguistics</journal-title>
</journal-title-group>
<issn pub-type="epub">2767-0279</issn>
<publisher>
<publisher-name>eScholarship Publishing</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5070/G6011.50525</article-id>
<article-categories>
<subj-group>
<subject>Regular article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Crossover as an early filter to pronoun resolution in English</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5974-3376</contrib-id>
<name>
<surname>Lyu</surname>
<given-names>Jun</given-names>
</name>
<email>junlyu@pku.edu.cn</email>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6516-1898</contrib-id>
<name>
<surname>Yun</surname>
<given-names>Jiwon</given-names>
</name>
<email>jiwon.yun@stonybrook.edu</email>
<xref ref-type="aff" rid="aff-2">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3594-4127</contrib-id>
<name>
<surname>Kaiser</surname>
<given-names>Elsi</given-names>
</name>
<email>emkaiser@usc.edu</email>
<xref ref-type="aff" rid="aff-3">3</xref>
</contrib>
</contrib-group>
<aff id="aff-1"><label>1</label>Peking University</aff>
<aff id="aff-2"><label>2</label>Stony Brook University</aff>
<aff id="aff-3"><label>3</label>University of Southern California</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-08-03">
<day>03</day>
<month>08</month>
<year>2026</year>
</pub-date>
<pub-date pub-type="collection">
<year>2026</year>
</pub-date>
<volume>5</volume>
<issue>1</issue>
<elocation-id>14</elocation-id>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2026 The Author(s)</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See <uri xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</uri>.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://glossapsycholinguistics.journalpub.escholarship.org/articles/10.5070/G6011.50525/"/>
<abstract>
<p>A key question for psycholinguistic research is understanding how and when structure-sensitive constraints guide the real-time resolution of pronouns. In this study, we examined the processing of pronouns in crossover configurations, where a <italic>wh</italic>-operator moves across a pronoun to its left, rendering it structurally inaccessible to the pronoun. Our findings from self-paced reading experiments regarding strong crossover (SCO) and weak crossover (WCO) configurations suggest that in both cases, native English speakers only consider structurally accessible antecedents upon encountering the pronoun, adhering to structure-sensitive constraints. Nevertheless, the reading times and post-reading acceptability judgments indicate that the structurally inaccessible <italic>wh</italic>-operator can be considered during later processing stages, albeit exclusively in the WCO configuration. We discuss the implications of these findings for sentence processing models of pronoun resolution and for theories explaining the crossover phenomena.</p>
</abstract>
</article-meta>
</front>
<body>
<sec>
<title>1. Introduction</title>
<p>Pronoun resolution involves a complex process. Potential antecedents include referents that are compatible with the morphological features (e.g., gender, number) of the pronoun. Yet, the identification of an antecedent is also contingent upon phrase-structure rules, as only referents in structurally accessible positions are ruled in as legitimate antecedents. A key question in psycholinguistic research is whether such structure-sensitive constraints strictly guide real-time pronoun resolution, or whether they can be temporarily overridden by non-structural cues during processing (e.g., <xref ref-type="bibr" rid="B7">Badecker &amp; Straub, 2002</xref>; <xref ref-type="bibr" rid="B18">Chen et al., 2012</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B29">Dillon et al., 2013</xref>; <xref ref-type="bibr" rid="B78">Patil et al., 2016</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>).</p>
<p>In the present study, we address this question by investigating pronoun resolution in crossover configurations (<xref ref-type="bibr" rid="B81">Postal, 1971</xref>; <xref ref-type="bibr" rid="B103">Wasow, 1972</xref>), which has received increasing attention in psycholinguistic research (e.g., <xref ref-type="bibr" rid="B34">Felser &amp; Drummer, 2017</xref>; <xref ref-type="bibr" rid="B63">Kush et al., 2017</xref>; <xref ref-type="bibr" rid="B104">Wasow &amp; Clausen, 2011</xref>), but still requires more thorough investigation. In crossover constructions, an operator, such as a <italic>wh</italic>-phrase, moves across a pronoun to the clause-peripheral position, as illustrated in (1a-b). In such cases, the pronoun cannot be coindexed with the moved <italic>wh</italic>-phrase, ruling out a bound&#8211;variable interpretation. We call this type of prohibition against coreference the <italic>crossover constraint</italic>.</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(1)</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>a.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Which man<sub>i</sub> did he<sub>*i/j</sub> help t<sub>1</sub>?</p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>b.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Which man<sub>i</sub> did his<sub>*?i/j</sub> supervisor help t<sub>i</sub>?</p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<p>The sentences in (1a-b) instantiate strong crossover (SCO) and weak crossover (WCO) configurations, respectively. While coreference contravenes the crossover constraint in both configurations, SCO additionally violates Condition C of the Binding Theory (<xref ref-type="bibr" rid="B20">Chomsky, 1981</xref>), as the pronoun (e.g., <italic>he</italic>) c-commands the <italic>wh</italic>-phrase in its base (reconstructed) position.<xref ref-type="fn" rid="n1">1</xref> Previous studies have shown that bound variable interpretations in WCO are degraded, but not categorically excluded, as reflected by gradient unacceptability (*?) rather than complete unacceptability (*), especially when the <italic>wh</italic>-phrase is specific (or <italic>D-linked</italic>; <xref ref-type="bibr" rid="B79">Pesetsky, 1987</xref>) and referentially complex (e.g., <italic>which man</italic>) (e.g., <xref ref-type="bibr" rid="B32">Falco, 2010</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>; <xref ref-type="bibr" rid="B103">Wasow, 1972</xref>; <xref ref-type="bibr" rid="B104">Wasow &amp; Clausen, 2011</xref>).</p>
<p>Crossover effects have been analyzed from syntactic (e.g., <xref ref-type="bibr" rid="B3">Ag&#252;ero-Bautista, 2014</xref>; <xref ref-type="bibr" rid="B10">Bianchi, 2001</xref>; <xref ref-type="bibr" rid="B12">Bresnan, 1998</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>; <xref ref-type="bibr" rid="B57">Koopman &amp; Sportiche, 1982</xref>; <xref ref-type="bibr" rid="B86">Reinhart, 1983</xref>; <xref ref-type="bibr" rid="B89">Safir, 1984</xref>), semantic (e.g., <xref ref-type="bibr" rid="B14">B&#252;ring, 2004</xref>; <xref ref-type="bibr" rid="B88">Ruys, 2000</xref>), and processing-based perspectives (e.g., <xref ref-type="bibr" rid="B4">Alphonce, 1998</xref>; <xref ref-type="bibr" rid="B23">Culicover, 2013</xref>; <xref ref-type="bibr" rid="B93">Shan &amp; Barker, 2006</xref>). Among these, syntactic accounts grounded in the A-binding constraint (<xref ref-type="bibr" rid="B86">Reinhart, 1983</xref>) have been particularly influential. Under this account, pronominal variables can only be bound by an operator in an argument position (A-position). For example, the <italic>wh</italic>-phrases in (1a-b) are in Spec-CP, which is a non-argument position (A&#8217;-position), and thus cannot directly bind the pronoun. In contrast, a sentence like <italic>which man<sub>i</sub> t<sub>i</sub> helped his<sub>i</sub> supervisor</italic> allows a bound pronoun reading, because the trace of the <italic>wh</italic>-phrase binds the pronoun from Spec-TP, which is an A-position.</p>
<p>It is important to note that the crossover constraint cannot simply be reduced to a surface linearity constraint (e.g., Chomsky&#8217;s (<xref ref-type="bibr" rid="B19">1976</xref>) Leftness Condition) that prohibits bound pronouns from linearly preceding their traces (see, e.g., <xref ref-type="bibr" rid="B8">Barker, 2012</xref>; <xref ref-type="bibr" rid="B86">Reinhart, 1983</xref>; <xref ref-type="bibr" rid="B90">Safir, 2017</xref>). In fact, pronominal binding is possible even when the pronoun precedes the trace during certain stages of derivation, provided that the relevant structural relations are satisfied. For example, in sentences like <italic>Everyone<sub>i</sub> t<sub>i</sub> seems to his mother t<sub>i</sub> to be a genius</italic>, binding is grammatical, despite the pronoun linearly preceding the trace in its base position (but see <xref ref-type="bibr" rid="B11">Bresnan, 1994</xref>, <xref ref-type="bibr" rid="B12">1998</xref>, for crosslinguistic variation in crossover effects). Such facts suggest that crossover effects in English are fundamentally structural, rather than (purely) linear.</p>
<p>Given the robustness of Reinhart&#8217;s syntactic account across a range of crossover constructions (<xref ref-type="bibr" rid="B64">Lasnik &amp; Stowell, 1991</xref>; but see <xref ref-type="bibr" rid="B8">Barker, 2012</xref>, for discussion), we follow Safir (<xref ref-type="bibr" rid="B90">2017</xref>) in assuming that crossover effects are <italic>syntactically conditioned</italic>, arising from specific structural relations among the operator, the trace, and the pronoun,<xref ref-type="fn" rid="n2">2</xref> even if the ultimate source of the constraint could be non-syntactic. At the same time, for the purposes of this study, we abstract away from different theoretical formulations of the crossover constraint (see <xref ref-type="bibr" rid="B3">Ag&#252;ero-Bautista, 2014</xref>; <xref ref-type="bibr" rid="B90">Safir, 2017</xref>, for overviews) and treat crossover as a structure-sensitive constraint, in line with recent experimental work (<xref ref-type="bibr" rid="B34">Felser &amp; Drummer, 2017</xref>; <xref ref-type="bibr" rid="B63">Kush et al., 2017</xref>).</p>
<p>The primary goal of this study is to probe how comprehenders deploy structure-sensitive constraints, such as the crossover constraint, during real-time processing, a topic that remains actively debated (e.g., <xref ref-type="bibr" rid="B29">Dillon et al., 2013</xref>; <xref ref-type="bibr" rid="B40">Fujita &amp; Yoshida, 2024</xref>; <xref ref-type="bibr" rid="B61">Kush &amp; Dillon, 2021</xref>; <xref ref-type="bibr" rid="B78">Patil et al., 2016</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>). When identifying the antecedent for a pronoun, the parser needs to attend to not only the structural positions of potential antecedents, but also their morphological features, such as gender. A crucial question, therefore, is whether structural constraints are prioritized over morphological agreement since early moments of processing, or whether both types of information play prominent roles. Crossover configurations are particularly well suited to addressing this issue, since structural constraints and agreement cues can be in direct competition.</p>
<p>A prior self-paced reading study by Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>) made notable contributions in this area by investigating the interaction between crossover constraints and gender agreement in SCO and WCO configurations, exemplified in (2a&#8211;b).</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(2)</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>a.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Jane asked which maintenance man it appeared that he already spoke with ___. [SCO]</p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>b.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Jane asked which maintenance man it appeared that his supervisor already spoke with ___. [WCO]</p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<p>Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>) found that native English speakers did not consider structurally illicit bound variable interpretations in SCO configurations during early stages of processing, but did so in WCO configurations. They took these findings to suggest that the crossover constraint may yield to gender agreement. However, as we argue in Section 2, the relatively long linear and structural distance between the antecedents and the pronoun may have facilitated bound variable interpretations, due to reduced reconstruction of the <italic>wh</italic>-phrase and the decay of structurally accessible antecedents in memory. This raises the possibility that the observed weakening of crossover effects reflects properties of the specific sentence structures tested, rather than the parser&#8217;s general insensitivity to the crossover constraint. Our study goes beyond Kush and colleague&#8217;s work in two respects. First, we adopt a design that allows us to simultaneously assess the influence of structurally (in)accessible referents on pronoun resolution. Second, we use simpler sentence structures, to minimize the potential effects associated with long-distance dependencies mentioned above.</p>
<p>The remainder of this article is organized as follows. In Section 2, we introduce two competing views of pronoun resolution in the context of crossover configurations and review relevant psycholinguistic work. In Section 3, we review prior debates on the availability of bound pronoun readings in WCO configurations, as our study provides an empirical context for discussing these theoretical issues. Section 4 provides an overview of our study&#8217;s aims. We then report two self-paced reading experiments on SCO and WCO configurations in Sections 5 and 6, respectively. We summarize the findings and discuss the broader implications of this study in Section 7, and conclude in Section 8.</p>
</sec>
<sec>
<title>2. The timing of structural constraints and the processing of crossover</title>
<sec>
<title>2.1 Two different views on the timing of structural constraints</title>
<p>In Section 1, we adopted the widely held view that crossover is a structural constraint: regardless of its theoretical source, crossover effects depend on configurational relations among the operator, the trace, and the pronoun. Building on this assumption, this section examines how structural and non-structural constraints interact during sentence processing and how we probe the time-course of structural and agreement cues in crossover configurations.</p>
<p>During real-time pronoun resolution, the parser must establish a dependency between a pronoun and a potential antecedent. When multiple candidates are available, the parser relies on a range of constraints and cues to locate or retrieve an optimal candidate. For our purposes, the relevant constraints involved are the structural constraints (SCO and WCO constraints) and the gender agreement constraint. Although previous psycholinguistic work has shown that both structural and agreement information can guide antecedent retrieval (e.g., <xref ref-type="bibr" rid="B7">Badecker &amp; Straub, 2002</xref>; <xref ref-type="bibr" rid="B27">Cunnings &amp; Sturt, 2014</xref>; <xref ref-type="bibr" rid="B33">Felser &amp; Cunnings, 2012</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>), there is no consensus on their relative timing during online processing. Below, we outline two different views. For ease of exposition, we illustrate their predictions using WCO configurations; both approaches make parallel predictions for SCO.</p>
<p>One prominent view holds that a wide variety of linguistic information, structural and non-structural alike, is available from the earliest stages of processing for antecedent retrieval (e.g., <xref ref-type="bibr" rid="B7">Badecker &amp; Straub, 2002</xref>; <xref ref-type="bibr" rid="B51">J&#228;ger et al., 2015</xref>; <xref ref-type="bibr" rid="B54">Kaiser et al., 2009</xref>; <xref ref-type="bibr" rid="B67">Lewis et al., 2006</xref>; <xref ref-type="bibr" rid="B66">Lewis &amp; Vasishth, 2005</xref>; <xref ref-type="bibr" rid="B78">Patil et al., 2016</xref>; <xref ref-type="bibr" rid="B87">Runner et al., 2006</xref>). We refer to this class of approaches, irrespective of particular implementation details (e.g., cue-based memory retrieval), as the Uniform Multiple Constraints Hypothesis. Building on interactive models of sentence processing (e.g., <xref ref-type="bibr" rid="B37">Ferreira &amp; Henderson, 1990</xref>; <xref ref-type="bibr" rid="B71">MacDonald et al., 1994</xref>; <xref ref-type="bibr" rid="B99">Tanenhaus et al., 1995</xref>; <xref ref-type="bibr" rid="B100">Trueswell et al., 1993</xref>, <xref ref-type="bibr" rid="B101">1994</xref>), this hypothesis predicts that structural and agreement constraints are uniformly available and can influence pronoun resolution from the outset. As a conceptual starting point, we further assume that structural and non-structural constraints are similarly weighted during early-stage processing,<xref ref-type="fn" rid="n3">3</xref> where <italic>weight</italic> refers to relative influence during online processing and does not denote constraint ranking within the grammar. Therefore, the Uniform Multiple Constraints Hypothesis predicts that gender-congruent antecedents, regardless of their structural accessibility, are considered during the initial processing stages in crossover configurations.</p>
<p>In contrast, the Early Filter Hypothesis posits that only structurally accessible referents are initially considered as potential antecedents, while structurally inaccessible referents are excluded at early stages but may become available later (e.g., <xref ref-type="bibr" rid="B17">Chang et al., 2020</xref>; <xref ref-type="bibr" rid="B21">Chow et al., 2014</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B27">Cunnings &amp; Sturt, 2014</xref>, <xref ref-type="bibr" rid="B28">2018</xref>; <xref ref-type="bibr" rid="B29">Dillon et al., 2013</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>). On this view, structural constraints function as early, defeasible filters. In terms of timing, they are deployed immediately to restrict the candidate set of antecedents, based on configurational relations; but in terms of strength, their effects may weaken over time. Importantly, this prediction extends to all configurational constraints, including the crossover constraint and Condition C, whose ultimate theoretical status may be syntactic, semantic, or pragmatic (for a stricter interpretation in which only purely syntactic constraints are prioritized, see <xref ref-type="bibr" rid="B30">Drummer &amp; Felser, 2018</xref>). What matters for the predictions of the Early Filter Hypothesis is that coreference depends on structural relations (e.g., c-command) between the pronoun and its potential antecedents (e.g., <xref ref-type="bibr" rid="B25">Cunnings et al., 2014</xref>; <xref ref-type="bibr" rid="B55">Kazanina et al., 2007</xref>; <xref ref-type="bibr" rid="B62">Kush et al., 2015</xref>, <xref ref-type="bibr" rid="B63">2017</xref>; <xref ref-type="bibr" rid="B80">Phillips et al., 2011</xref>). Applied to crossover, the Early Filter Hypothesis predicts that <italic>wh</italic>-phrases should not influence early pronoun resolution due to their structural inaccessibility, irrespective of gender congruency.</p>
<p>To illustrate these predictions, consider the WCO configuration in (3). Upon encountering the pronoun <italic>her</italic>, the parser searches for a structurally accessible antecedent matching its agreement features. For ease of exposition, we represent structural accessibility by {+Access}, abstracting away from the specific crossover constraint in question (e.g., A-binding). Gender features are represented as {+/&#8211;Masc/Fem}, with +/&#8211; indicating feature match or mismatch. Furthermore, following standard terminology (e.g., <xref ref-type="bibr" rid="B29">Dillon et al., 2013</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>), we refer to the structurally accessible DP as the <italic>target</italic> and the structurally inaccessible DP as the <italic>distractor</italic>.</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(3)</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Sarah <inline-formula><alternatives><mml:math id="Eq001-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mtext>Fem</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mtext>Access</mml:mtext></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
<tex-math id="M1">
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\[\begin{Bmatrix} + {\rm Fem} \\ + {\rm Access} \end{Bmatrix}\]
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</tex-math>
<graphic xlink:href="glossapx-5-1-50525-e1.gif"/>
</alternatives>
</inline-formula> wondered which man <inline-formula><alternatives><mml:math id="Eq002-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Fem</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Access</mml:mtext></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
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\[\begin{Bmatrix} - {\rm Fem} \\ - {\rm Access} \end{Bmatrix}\]
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</alternatives>
</inline-formula> in the office <bold>her</bold> supervisor had promoted ___ recently.</p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<p>In (3), the target <italic>Sarah</italic> is retrieved, because it is the only structurally accessible DP matching the gender of <italic>her</italic>. Both hypotheses make similar predictions here: the distractor <italic>which man</italic> is an unlikely antecedent for <italic>her</italic> due to both gender mismatch and structural inaccessibility. The predictions diverge, however, when the distractor matches the pronoun&#8217;s gender, as in (4).</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(4)</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Peter <inline-formula><alternatives><mml:math id="Eq003-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mtext>Masc</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mtext>Access</mml:mtext></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
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\[\begin{Bmatrix} + {\rm Masc} \\ + {\rm Access} \end{Bmatrix}\]
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</alternatives></inline-formula> wondered which man <inline-formula><alternatives><mml:math id="Eq004-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mtext>Masc</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Access</mml:mtext></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
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</inline-formula> in the office <bold>his</bold> supervisor had promoted ___ recently.</p></list-item></list>
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</list-item>
</list>
<p>Under the Uniform Multiple Constraints Hypothesis, the gender-congruent distractor <italic>which man</italic> may be considered at early stages. Furthermore, in cue-based implementations (<xref ref-type="bibr" rid="B67">Lewis et al., 2006</xref>; <xref ref-type="bibr" rid="B66">Lewis &amp; Vasishth, 2005</xref>),<xref ref-type="fn" rid="n4">4</xref> it additionally predicts slower retrieval in (4) than in (3) due to competition between <italic>Peter</italic> and <italic>which man</italic>. This slowdown &#8211; <italic>inhibitory interference</italic> &#8211; arises when morphological and structural cues have similar weights. By contrast, the Early Filter Hypothesis predicts no such effect: as only the target is retrieved during the early processing stages, antecedent retrieval speed should not differ between (3) and (4) at the onset of the pronoun.</p>
<p>Examples (3&#8211;4) involve cases where the target fully matches the pronoun&#8217;s gender. Now, consider cases where the target mismatches the pronoun, as in (5&#8211;6). In these cases, neither of the potential antecedents are optimal. However, the distractor <italic>which man</italic> matches the gender of the pronoun in (5), but not in (6). In this case, will the gender of the distractor affect pronoun resolution?</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(5)</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Sarah <inline-formula><alternatives><mml:math id="Eq005-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Masc</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mstyle mathvariant='bold' mathsize='normal'><mml:mtext>Access</mml:mtext></mml:mstyle></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
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</inline-formula> wondered which man <inline-formula><alternatives><mml:math id="Eq006-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mstyle mathvariant='bold' mathsize='normal'><mml:mtext>Masc</mml:mtext></mml:mstyle></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Access</mml:mtext></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
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<graphic xlink:href="glossapx-5-1-50525-e6.gif"/></alternatives></inline-formula> in the office <bold>his</bold> supervisor had promoted ___ recently.</p></list-item></list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(6)</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Peter <inline-formula><alternatives><mml:math id="Eq007-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Fem</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mstyle mathvariant='bold' mathsize='normal'><mml:mtext>Access</mml:mtext></mml:mstyle></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
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\[\begin{Bmatrix} - {\rm Fem} \\ + {\rm Access} \end{Bmatrix}\]
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</inline-formula> wondered which man <inline-formula><alternatives><mml:math id="Eq008-mml"><mml:mrow><mml:mfenced close="}" open="{"><mml:mrow><mml:mtable equalrows='true' equalcolumns='true'><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Fem</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mtext>Access</mml:mtext></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mfenced></mml:mrow></mml:math>
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<graphic xlink:href="glossapx-5-1-50525-e8.gif"/></alternatives></inline-formula> in the office <bold>her</bold> supervisor had promoted ___ recently.</p></list-item></list>
</list-item>
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</list-item>
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<p>The Uniform Multiple Constraints Hypothesis again predicts that in (5), the gender-congruent distractor may be retrieved early. However, compared to (6), this manifests as a <italic>facilitatory interference</italic> (see <xref ref-type="bibr" rid="B52">J&#228;ger et al., 2017, p. 319</xref> for a similar understanding of the concept) in prior sentence processing studies, shown by faster reading times in (5) compared to (6). The distractor interference effect in (5) is facilitatory, rather than inhibitory, because the sentence contains a gender-congruent distractor <italic>which man</italic>, in contrast to (6) where neither referent is semantically plausible. The Early Filter Hypothesis predicts no early interference in either case, as the distractor is excluded by the crossover constraint regardless of gender agreement.</p>
<p>In summary, the Uniform Multiple Constraints Hypothesis posits that gender congruency between the pronoun and the distractor causes some form of interference &#8211; facilitatory or inhibitory &#8211; during the initial processing stages. We call this kind of interference <italic>gender intrusion</italic> effects. By contrast, the Early Filter Hypothesis predicts no intrusion from the distractor during the early stages, with processing difficulties only arising from gender mismatch between the pronoun and the target. It should be noted that these two approaches to pronoun resolution primarily differ in their predictions for early-stage processing, as gender intrusion frequently occurs at later processing stages, including post-reading judgments (e.g., <xref ref-type="bibr" rid="B21">Chow et al., 2014</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>). Therefore, in our self-paced reading study, we not only examine gender intrusion at the pronoun (early stage) and the spillover (later stages) regions, we also assess readers&#8217; post-reading acceptability judgments (global stage), in order to get a comprehensive understanding of pronoun resolution in crossover configurations.</p>
</sec>
<sec>
<title>2.2 The processing of SCO and WCO configurations</title>
<p>As mentioned above, both hypotheses predict similar processing patterns for SCO and WCO configurations. However, some prior studies of crossover processing present results that do not fully align with this prediction. In an eye-tracking study in German, Felser and Drummer (<xref ref-type="bibr" rid="B34">2017</xref>) found no gender intrusion in the SCO configuration, but observed early signs of gender intrusion in WCO configurations, as reflected in first-fixation and first-pass reading times. However, this unexpected asymmetry &#8211; where gender intrusion is present in WCO, but not in SCO &#8211; should be interpreted with caution, because the WCO constraint might not apply in German (e.g., <xref ref-type="bibr" rid="B44">Grewendorf, 1988</xref>; <xref ref-type="bibr" rid="B45">Haider, 1993</xref>) and the strength of WCO effects appears to vary cross-linguistically due to different strength relationships between hierarchical prominence and linear order across languages, as suggested by Bresnan (<xref ref-type="bibr" rid="B12">1998</xref>).</p>
<p>A more substantial challenge to these hypotheses is presented by Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>). They tested whether and when structurally inaccessible antecedents are retrieved in SCO and WCO configurations in English, as in (7a-b), and reported findings similar to Felser and Drummer (<xref ref-type="bibr" rid="B34">2017</xref>). Using self-paced reading, Kush and colleagues found that in SCO configurations like (7a), where the structurally accessible target does not match the gender of the pronoun, no reliable gender intrusion was observed, as gender mismatch between the <italic>wh</italic>-phrase and the pronoun did not cause reading slowdowns. However, in WCO configurations like (7b), a facilitatory interference effect was observed at the pronoun, as gender match between the <italic>wh</italic>-operator and the pronoun led to faster reading times. To explain the different processing patterns observed in SCO and WCO configurations, Kush and colleagues suggest that the crossover constraint, which applies to both SCO and WCO, may be less weighted compared to Condition C, which only applies to SCO. Thus, Kush and colleagues account is essentially a weaker version of the early filter approach as they posit that only certain structural constraints (e.g., Condition C) are prioritized at the early stage of processing, while others (e.g., the crossover constraint) are not.</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(7)</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>a.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Jane asked which {maintenance man/lunch lady} it appeared that he already spoke with ___. [SCO]</p></list-item></list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>b.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p>Jane asked which {maintenance man/lunch lady} it appeared that his supervisor already spoke with ___. [WCO]</p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<p>We recognize that different structural constraints may show variability in their weights during processing. However, we consider it premature to conclude that the crossover constraint is weak and does not constrain early-stage processing. Alternative explanations for Kush and colleagues&#8217; findings are conceivable. In their stimuli, the <italic>wh</italic>-operator and the pronoun occur in different clauses: the operator appears in a higher clause, while the pronoun is embedded in a subordinate clause. Huang (<xref ref-type="bibr" rid="B49">1993</xref>) notes that reconstruction effects, which are linked to crossover effects, are attenuated when the pronoun occupies a more deeply embedded position, and subsequent experimental work has shown that both linear and structural distance between the <italic>wh</italic>-operator and the pronoun modulates reconstruction effects (e.g., <xref ref-type="bibr" rid="B1">Adger et al., 2017</xref>; <xref ref-type="bibr" rid="B91">Salzmann et al., 2023</xref>; <xref ref-type="bibr" rid="B105">Wierzba et al., 2021</xref>). Relatedly, independent observations also suggest WCO effects are weaker when the pronoun is more embedded structurally (e.g., <xref ref-type="bibr" rid="B2">Ag&#252;ero-Bautista, 2012</xref>, <xref ref-type="bibr" rid="B3">2014</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>).</p>
<p>Moreover, the relatively high structural complexity of Kush and colleagues&#8217; test materials may have increased the overall processing load, potentially encouraging shallow parsing strategies (e.g., <xref ref-type="bibr" rid="B38">Ferreira et al., 2002</xref>; <xref ref-type="bibr" rid="B92">Sanford &amp; Sturt, 2002</xref>). Under shallow processing, readers may construct underspecified representations and rely more heavily on salient surface cues, such as linearly proximal gender features of the distractor, rather than fully compute hierarchical relations. Further contributing to this potential bias, in their tested sentences, the structurally accessible target consistently mismatched the pronoun in gender, a design choice that could potentially bias participants towards bound variable readings. These factors may particularly affect WCO configurations relative to SCO, since the crossover constraint itself is relatively more violable than Condition C and thus more susceptible to distance-related effects. Taken together, it is worth exploring whether early gender intrusion effects would still arise when the <italic>wh</italic>-phrase and the pronoun occur within the same clause and the overall sentence structure is less complex, as in (3&#8211;6).</p>
<p>To summarize, the processing of pronouns in crossover configurations presents an ideal case for assessing contrasting views of real-time pronoun resolution. While previous studies have yielded valuable insights, there remains space for further exploration due to factors related to experimental design. In this study, we follow in the footsteps of prior work by examining the processing of SCO and WCO configurations, in order to further evaluate psycholinguistic models of pronoun resolution.</p>
</sec>
</sec>
<sec>
<title>3. Theoretical debates on the robustness of the weak crossover effect</title>
<p>In the previous sections, we treated crossover as a structure-sensitive constraint and focused on its role in real-time processing, largely setting aside broader theoretical debates. Although the present study is not designed to adjudicate directly among different theoretical formulations of the crossover constraint, the sentence types examined here nonetheless provide a useful empirical window into one theoretically contested aspect of the crossover phenomenon, i.e., how specificity affects bound variable readings in WCO. In this sense, our processing-oriented investigation also creates an opportunity to engage with ongoing theoretical discussions.</p>
<p>Following earlier experimental work (<xref ref-type="bibr" rid="B34">Felser &amp; Drummer, 2017</xref>; <xref ref-type="bibr" rid="B63">Kush et al., 2017</xref>), our materials use D-linked (discourse-linked) or specific <italic>wh</italic>-phrases as distractors, motivated primarily by considerations of experimental design. Importantly, while the SCO effect appears robust regardless of the D-linking status of the distractor,<xref ref-type="fn" rid="n5">5</xref> judgments of the WCO effect show substantial variability. For the coreferential reading in sentences such as (1b), reported judgments range from &#8220;unacceptable&#8221; (e.g., <xref ref-type="bibr" rid="B64">Lasnik &amp; Stowell, 1991</xref>, ex. (12c)) to &#8220;slightly unacceptable&#8221; (e.g., <xref ref-type="bibr" rid="B11">Bresnan, 1994</xref>, ex. (22)) and even &#8220;acceptable&#8221; (e.g., <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>, ex. (12); <xref ref-type="bibr" rid="B32">Falco, 2010</xref>, ex. (15)). This variability has been attributed to properties of the <italic>wh</italic>-phrase itself, in particular, its degree of specificity or D-linking (<xref ref-type="bibr" rid="B23">Culicover, 2013</xref>; <xref ref-type="bibr" rid="B32">Falco, 2010</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>; <xref ref-type="bibr" rid="B103">Wasow, 1972</xref>; <xref ref-type="bibr" rid="B104">Wasow &amp; Clausen, 2011</xref>). D-linked <italic>wh</italic>-phrases, marked by <italic>which</italic>, require the answer to be selected from a set of established individuals in prior discourse (<xref ref-type="bibr" rid="B79">Pesetsky, 1987</xref>). As we discuss below, differences in theoretical analyses of specificity and their implications for crossover yield varying predictions regarding the availability of bound variable readings. Thus, the sentence configurations involving specificity tested in our study are especially informative from a theoretical perspective.</p>
<p>For ease of discussion, we divide prior accounts of crossover into three camps, depending on their views regarding the role of specificity. The first camp of accounts makes no reference to specificity and predicts degradation in WCO configurations regardless of the D-linking properties of the <italic>wh</italic>-operator. For instance, Reinhart&#8217;s A-binding constraint only considers the structural position of the <italic>wh</italic>-operator. Similarly, other syntactic accounts like the Bijection Principle (<xref ref-type="bibr" rid="B57">Koopman &amp; Sportiche, 1982</xref>) and the Overt Variable Constraint (<xref ref-type="bibr" rid="B2">Ag&#252;ero-Bautista, 2012</xref>) as well as scope-based accounts (e.g., <xref ref-type="bibr" rid="B8">Barker, 2012</xref>; <xref ref-type="bibr" rid="B14">B&#252;ring, 2004</xref>; <xref ref-type="bibr" rid="B88">Ruys, 2000</xref>) make no reference to D-linking. The D-linking effect, if any, is extrinsic to these theories.</p>
<p>The second camp posits that the WCO effect is, in large part, due to processing burdens and that D-linking improves the acceptability of bound pronoun readings. For example, Wasow and Clausen (<xref ref-type="bibr" rid="B104">2011</xref>) attribute the WCO effect to the high processing demands imposed by filler-gap dependencies, which place a considerable burden on working memory. D-linked <italic>wh</italic>-phrases, however, mitigate this burden: since D-linked <italic>wh</italic>-phrases encode richer information than bare <italic>wh</italic>-phrases, they are more activated in working memory and thus easier to retrieve. In their offline acceptability judgment experiments, Wasow and Clausen discovered that D-linked <italic>wh</italic>-phrases attenuate the WCO effect compared to bare <italic>wh</italic>-phrases, although D-linking does not remove degradedness entirely compared to non-WCO controls.</p>
<p>Culicover (<xref ref-type="bibr" rid="B23">2013</xref>) similarly noticed the relation between the amelioration of the WCO effect and the referential complexity of <italic>wh</italic>-phrases. He argues that the intuition behind the ungrammaticality associated with WCO is largely because, in sentences like (1b), the <italic>wh</italic>-phrase is underspecified with respect to its thematic role and grammatical function at the onset of the pronoun, which makes the <italic>wh</italic>-phrase inaccessible for retrieval. By contrast, D-linked <italic>wh</italic>-phrases are more accessible due to their higher degree of referential specificity, and can render bound variable readings acceptable (e.g., <italic>Which picture<sub>i</sub> did the man who painted it<sub>i</sub> refuse to sell t<sub>i</sub></italic>?). In his view, the WCO effect is not the result of a grammatical constraint, but rather reflects processing difficulty, which leads to the conclusion that the phenomenon should be taken &#8220;out of the domain of grammar&#8221; and placed &#8220;into the domain of processing&#8221; (<xref ref-type="bibr" rid="B23">Culicover, 2013, p. 127</xref>).</p>
<p>The third camp maintains that the crossover effect is due to syntactic constraints but rules in pronominal binding by D-linked <italic>wh</italic>-operators in WCO constructions. Ishii (<xref ref-type="bibr" rid="B50">2006</xref>), for example, argues that a D-linked <italic>wh</italic>-operator undergoes an intermediate A-movement to a position within vP before moving to an A&#8217;-position in CP. Because pronominal variables can be bound from A-positions, and since A-movement is known to &#8220;bleed&#8221; WCO effects (e.g., <xref ref-type="bibr" rid="B72">Mahajan, 1990</xref>), bound pronoun readings in sentences like (1b) are predicted to be fully grammatical. Therefore, in WCO configurations involving D-linked <italic>wh</italic>-operators (e.g., <italic>Which man does his mother love?</italic>), the crossover constraint is rendered irrelevant from the earliest stages of the syntactic derivation. Translated into processing terms, this approach predicts that D-linked <italic>wh</italic>-phrases should be immediately accessible when the pronoun is encountered.</p>
<p>Pursuing an alternative approach, Falco (<xref ref-type="bibr" rid="B32">2010</xref>) proposes that pronominal variables cannot be bound by referentially simpler binders such as bare <italic>wh</italic>-phrases, where referential complexity is contingent upon the richness of agreement features (e.g., person, number). To implement this proposal, Falco posits that the agreement features of bound pronouns must match those of the <italic>wh</italic>-operators. While bare <italic>wh</italic>-phrases (e.g., <italic>who</italic>) do not contain NPs that satisfy this requirement, D-linked <italic>wh</italic>-phrases (e.g., <italic>which man</italic>) do. For example, in (1b), <italic>man</italic> matches the agreement features of <italic>his</italic> and thus pronominal binding is syntactically licensed. In short, despite their differences, these syntactic accounts align in predicting that bound pronoun readings are immediately available in WCO configurations with D-linked <italic>wh</italic>-operators.</p>
<p>To summarize, existing theoretical accounts make divergent predictions about the availability of bound pronoun readings with D-linked <italic>wh</italic>-phrases in WCO configurations. The present study brings experimental evidence to bear on this debate. While offline acceptability judgments can establish whether the crossover constraint is violable, they are limited in their ability to determine at what time points during comprehension the constraint applies. It remains possible that the constraint is initially respected, with discourse-pragmatic factors, such as plausibility (<xref ref-type="bibr" rid="B43">Gor &amp; Syrett, 2019</xref>; <xref ref-type="bibr" rid="B42">Gor, 2020</xref>), intervening at later stages. As acceptability judgments cannot effectively disentangle effects at different stages of pronoun resolution, we heed the suggestion of Wasow and Clausen (<xref ref-type="bibr" rid="B104">2011</xref>) and use the self-paced reading method, in addition to acceptability judgments, to get fine-grained evidence on the application of the crossover constraint during real-time processing.</p>
</sec>
<sec>
<title>4. Overview of aims</title>
<p>This study has two main aims. The primary aim is to inform models of sentence processing by examining the time course with which structural and gender cues are deployed during real-time pronoun resolution. In particular, we test two views of pronoun resolution, the Uniform Multiple Constraints Hypothesis and the Early Filter Hypothesis, which make divergent predictions regarding the presence and timing of gender intrusion effects: the former predicts early emergence of gender intrusion, whereas the latter does not.</p>
<p>A secondary aim is to assess the theoretical accounts of crossover by examining the acceptability of bound pronoun readings in crossover configurations. To this end, we use a gender mismatch paradigm, illustrated in (3&#8211;6), to probe to what extent native English speakers consider linking pronouns to structurally inaccessible but D-linked <italic>wh</italic>-phrases in acceptability judgments. By comparing sentences with plausible (gender-matching) antecedents in structurally accessible positions (e.g., (3)) to sentences with plausible antecedents in structurally inaccessible positions (e.g., (5)), we can test prior theoretical approaches to specificity (D-linking) and the crossover constraint.</p>
<p>In Sections 5 and 6, we report two experiments on SCO and WCO, respectively. These experiments feature both self-paced reading and acceptability judgments: participants read sentences chunk-by-chunk at their own pace and then judged the acceptability of each sentence.</p>
</sec>
<sec>
<title>5. Experiment 1: Strong crossover</title>
<sec>
<title>5.1 Participants</title>
<p>Ninety-four students over age 18 from the Stony Brook University community who spoke English as their first language participated in Experiment 1. The participants received course credit for participation. Studies reported in this article have been approved by the institutional review board of the authors&#8217; institutions.</p>
</sec>
<sec>
<title>5.2 Materials</title>
<p>We follow prior psycholinguistic work (e.g., <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B98">Sturt 2003</xref>) by manipulating the gender congruency between the pronoun and both the structurally accessible target (target match/mismatch) and the structurally inaccessible distractor (distractor match/mismatch). This yields a 2 &#215; 2 factorial design. See (8a-d) for an example. The subscripts indicate presentation regions in self-paced reading.</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(8)</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>a.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target match/Distractor match</italic></p></list-item>
<list-item><p>Peter<sub>1</sub> told<sub>2</sub> us<sub>3</sub> which man<sub>4</sub> in<sub>5</sub> the office<sub>6</sub> he<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p></list-item></list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>b.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target match/Distractor mismatch</italic></p></list-item>
<list-item><p>Sarah<sub>1</sub> told<sub>2</sub> us<sub>3</sub> which man<sub>4</sub> in<sub>5</sub> the office<sub>6</sub> she<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>c.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target mismatch/Distractor match</italic></p></list-item>
<list-item><p>Sarah<sub>1</sub> told<sub>2</sub> us<sub>3</sub> which man<sub>4</sub> in<sub>5</sub> the office<sub>6</sub> he<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p>
</list-item></list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>d.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target mismatch/Distractor mismatch</italic></p></list-item>
<list-item><p>Peter<sub>1</sub> told<sub>2</sub> us<sub>3</sub> which man<sub>4</sub> in<sub>5</sub> the office<sub>6</sub> she<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<p>We kept the distractor phrase (e.g., <italic>which man</italic>) preceding the pronoun constant across conditions and varied the gender of the target and the pronoun. We also fully counterbalanced the use of gendered proper names and pronouns for each condition (i.e., half of the items contain <italic>he</italic>; half contain <italic>she</italic>). This gender counterbalancing across conditions ensures that the four conditions are comparable to each other regarding the use of gendered elements and helps minimize effects unrelated to our purposes (e.g., <italic>she</italic> differs from <italic>he</italic> in alphabetic length and frequency).</p>
<p>In the self-paced reading experiment, reading slowdowns due to gender mismatch between the pronoun and either the target or the distractor &#8211; referred to as the <italic>gender mismatch effect</italic> &#8211; are taken as evidence that readers attempt to link these two elements. The gender mismatch effect is often used as a diagnostic for detecting binding in anaphora resolution (e.g., <xref ref-type="bibr" rid="B21">Chow et al., 2014</xref>; <xref ref-type="bibr" rid="B63">Kush et al., 2017</xref>; <xref ref-type="bibr" rid="B78">Patil et al., 2016</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>). Thus, the gender mismatch effect allows for the examination of the accessibility of structural and gender cues during real-time anaphora resolution. Furthermore, we anticipate a main effect of Distractor or a Target &#215; Distractor interaction at the earliest moments (e.g., pronoun region), if gender information is used immediately for pronoun resolution; if the structural constraint applies as an early filter, we should only observe a main effect of Target.</p>
<p>Twenty-four sets of target sentences, as in (8), were mixed with 48 filler sentences and randomly presented to the participants in a Latin Square design. Of the 48 fillers, 24 were syntactically and semantically/pragmatically well-formed; the other 24 fillers were composed of 12 syntactically and 12 semantically/pragmatically anomalous sentences. The purpose of including well-formed and ill-formed fillers is to check whether participants paid attention to the experiment. All items in this study are available on the Open Science Framework, linked in the Data Accessibility Statement.</p>
</sec>
<sec>
<title>5.3 Procedure</title>
<p>The experiment was hosted on PCIbex (<xref ref-type="bibr" rid="B106">Zehr &amp; Schwartz, 2018</xref>), and consisted of a self-paced reading task and an acceptability judgment task. The participants first read the sentences region by region in a moving window paradigm. After reading each sentence, they judged how acceptable the sentence was on a 7-point Likert scale. Following Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>), the leftmost and rightmost ends of the scale were labeled &#8220;Bad&#8221; and &#8220;Good,&#8221; respectively. The participants could either click on the radio button associated with a numerical value or press a number on the keyboard to indicate the acceptability of a sentence. Before the main experiment, participants were familiarized with the task by means of 4 practice trials.</p>
</sec>
<sec>
<title>5.4 Data analysis</title>
<p>Before conducting data analysis, we removed data from participants who exhibited a higher mean rating for ill-formed fillers than for well-formed fillers, consistently selected a single number to indicate the acceptability of the sentence, or demonstrated overly rapid reading times (i.e., below 100 ms on average). Applying these criteria resulted in the exclusion of 9 participants, which left 85 participants for analysis.</p>
<p>For the analysis of acceptability ratings, we scaled the raw ratings of target items using z-transformation by participant. For the analysis of reading times (RTs), we first removed outliers falling outside the range of 100&#8211;4000 ms and 2.5 standard deviations beyond the mean by region and condition, which affected 2.99% of the original data. We applied a common two-step data screening procedure (see the review by <xref ref-type="bibr" rid="B73">Marsden et al., 2018</xref>), because while absolute cutoffs remove implausible values, SD-based trimming targets distribution-specific outliers that may still fall within absolute bounds, but exert disproportionate influence on condition means. Additionally, raw RTs were log-transformed before data analysis.</p>
<p>Mixed-effects linear regression was used to analyze the ratings and RTs with the <italic>lmer</italic> function in the <italic>lme4</italic> package in R (<xref ref-type="bibr" rid="B84">R Core Team, 2025</xref>). The main effects were the two factors, Target and Distractor, which were sum-coded (Target-match: 0.5; Target-mismatch: &#8211;0.5; Distractor-match: 0.5; Distractor-mismatch: &#8211;0.5). The random effects were the slopes and intercepts grouped by participants and items. When fitting statistical models, we followed Bates et al. (<xref ref-type="bibr" rid="B9">2015</xref>) by selecting more economical models. Therefore, we report results from a simpler model, rather than a more complex model, if the two models do not differ significantly. For model comparisons, we adopted an alpha level of 0.2 (following <xref ref-type="bibr" rid="B74">Matuschek et al., 2017</xref>), considering that an alpha level of 0.05 may impose an excessive penalty on model complexity.</p>
</sec>
<sec>
<title>5.5 Results</title>
<sec>
<title>5.5.1 Acceptability ratings</title>
<p><xref ref-type="fig" rid="F1">Figure 1</xref> shows the 85 participants&#8217; mean acceptability of target sentences by condition in both raw and z-transformed scores. The mean ratings for well-formed and ill-formed fillers (represented by the two dashed lines in the left panel) are 5.78 and 2.59, respectively. As shown in <xref ref-type="fig" rid="F1">Figure 1</xref>, the target-match conditions exhibit higher acceptability relative to target-mismatch conditions, whereas no prominent difference is observed between distractor-match and distractor-mismatch conditions.</p>
<fig id="F1">
<caption>
<p><bold>Figure 1:</bold> Mean acceptability of target sentences by condition in raw and z-transformed scores in SCO.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="glossapx-5-1-50525-g1.png"/>
</fig>
<p>Statistical analysis on z-transformed scores, summarized in <xref ref-type="table" rid="T1">Table 1</xref>, confirms a main effect of Target (<italic>p</italic> &lt; 0.001). There is no main effect of Distractor: gender congruency between pronouns and distractors does not modulate acceptability ratings. The Target &#215; Distractor interaction is not significant, either. These results, consistent with the findings of Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>), suggest that native English speakers do not consider structurally inaccessible antecedents in their global, post-sentence interpretations.</p>
<table-wrap id="T1">
<caption>
<p><bold>Table 1:</bold> Summary of statistics for z-transformed ratings of target sentences in SCO (*: &lt; 0.05).</p>
</caption>
<table>
<tbody>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"><bold><italic>&#946;</italic></bold></td>
<td align="left" valign="top"><bold><italic>SE</italic></bold></td>
<td align="left" valign="top"><bold><italic>t</italic></bold></td>
<td align="left" valign="top"><bold><italic>p</italic></bold></td>
</tr>
<tr>
<td align="left" valign="top">Target</td>
<td align="left" valign="top">0.62</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">15.41</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">&lt; 0.001*</td>
</tr>
<tr>
<td align="left" valign="top">Distractor</td>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">0.12</td>
<td align="left" valign="top">0.90</td>
</tr>
<tr>
<td align="left" valign="top">Target &#215; Distractor</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.08</td>
<td align="left" valign="top">0.14</td>
<td align="left" valign="top">0.89</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model structure: lmer (Score ~ Target * Distractor + (1&#124;Item) + (1&#124;Participant), data)</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>5.5.2 Reading times</title>
<p>The mean RTs by region and condition are displayed in <xref ref-type="fig" rid="F2">Figure 2</xref>. See <xref ref-type="table" rid="T2">Table 2</xref> for statistics. Prior to the critical pronoun region, no effects are significant. At the critical region, we found a main effect of Target (<italic>p</italic> = 0.03): gender mismatch between the structurally accessible Target and the pronoun leads to reading slowdowns. As mentioned earlier, such gender mismatch effects act as a diagnostic suggesting that participants attempted to retrieve the matrix subject during processing. In contrast, gender mismatch between the structurally inaccessible distractor (e.g., <italic>which man</italic>) and the pronoun does not significantly impact reading times, as evidenced by the absence of a main effect of Distractor. The Target &#215; Distractor interaction is not significant, either. Thus, at the critical region, we only see an early effect of Target gender mismatch, but no distractor-related gender intrusion effects.</p>
<fig id="F2">
<caption>
<p><bold>Figure 2:</bold> Mean RTs (ms) by region and condition in SCO.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="glossapx-5-1-50525-g2.png"/>
</fig>
<table-wrap id="T2">
<caption>
<p><bold>Table 2:</bold> Summary of statistics for log-transformed RTs in SCO (*: &lt; 0.05).</p>
</caption>
<table>
<tbody>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top" colspan="4"><bold>Target</bold></td>
<td align="left" valign="top" colspan="4"><bold>Distractor</bold></td>
<td align="left" valign="top" colspan="4"><bold>Target &#215; Distractor</bold></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Region</bold></td>
<td align="left" valign="top"><bold><italic>&#946;</italic></bold></td>
<td align="left" valign="top"><bold><italic>SE</italic></bold></td>
<td align="left" valign="top"><bold><italic>t</italic></bold></td>
<td align="left" valign="top"><bold><italic>p</italic></bold></td>
<td align="left" valign="top"><bold><italic>&#946;</italic></bold></td>
<td align="left" valign="top"><bold><italic>SE</italic></bold></td>
<td align="left" valign="top"><bold><italic>t</italic></bold></td>
<td align="left" valign="top"><bold><italic>p</italic></bold></td>
<td align="left" valign="top"><bold><italic>&#946;</italic></bold></td>
<td align="left" valign="top"><bold><italic>SE</italic></bold></td>
<td align="left" valign="top"><bold><italic>t</italic></bold></td>
<td align="left" valign="top"><bold><italic>p</italic></bold></td>
</tr>
<tr>
<td align="left" valign="top">Peter/Sarah</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.85</td>
<td align="left" valign="top">0.39</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.26</td>
<td align="left" valign="top">0.79</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.63</td>
<td align="left" valign="top">0.53</td>
</tr>
<tr>
<td align="left" valign="top">told</td>
<td align="left" valign="top">&#8211;0.008</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.66</td>
<td align="left" valign="top">0.51</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.65</td>
<td align="left" valign="top">0.52</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.75</td>
<td align="left" valign="top">0.45</td>
</tr>
<tr>
<td align="left" valign="top">us</td>
<td align="left" valign="top">&#8211;0.002</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.20</td>
<td align="left" valign="top">0.84</td>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.31</td>
<td align="left" valign="top">0.76</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">1.12</td>
<td align="left" valign="top">0.26</td>
</tr>
<tr>
<td align="left" valign="top">which man</td>
<td align="left" valign="top">0.007</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.41</td>
<td align="left" valign="top">0.68</td>
<td align="left" valign="top">&#8211;0.02</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.92</td>
<td align="left" valign="top">0.37</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">&#8211;0.44</td>
<td align="left" valign="top">0.66</td>
</tr>
<tr>
<td align="left" valign="top">in</td>
<td align="left" valign="top">0.006</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.43</td>
<td align="left" valign="top">0.67</td>
<td align="left" valign="top">&#8211;0.007</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.56</td>
<td align="left" valign="top">0.58</td>
<td align="left" valign="top">&#8211;0.007</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.29</td>
<td align="left" valign="top">0.77</td>
</tr>
<tr>
<td align="left" valign="top">the office</td>
<td align="left" valign="top">&#8211;0.001</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.06</td>
<td align="left" valign="top">0.95</td>
<td align="left" valign="top">0.006</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.46</td>
<td align="left" valign="top">0.65</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.98</td>
<td align="left" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">he/she</td>
<td align="left" valign="top">&#8211;0.03</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;2.23</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">0.03*</td>
<td align="left" valign="top">0.002</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.13</td>
<td align="left" valign="top">0.89</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.51</td>
<td align="left" valign="top">0.61</td>
</tr>
<tr>
<td align="left" valign="top">had</td>
<td align="left" valign="top">&#8211;0.07</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;6.69</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">&lt; 0.001*</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.44</td>
<td align="left" valign="top">0.66</td>
<td align="left" valign="top">&#8211;0.003</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.13</td>
<td align="left" valign="top">0.90</td>
</tr>
<tr>
<td align="left" valign="top">promoted</td>
<td align="left" valign="top">&#8211;0.03</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;2.61</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">0.009*</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">1.15</td>
<td align="left" valign="top">0.25</td>
<td align="left" valign="top">&#8211;0.007</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.34</td>
<td align="left" valign="top">0.74</td>
</tr>
<tr>
<td align="left" valign="top">recently</td>
<td align="left" valign="top">&#8211;0.03</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">&#8211;1.02</td>
<td align="left" valign="top">0.32</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.60</td>
<td align="left" valign="top">0.55</td>
<td align="left" valign="top">&#8211;0.06</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">&#8211;1.77</td>
<td align="left" valign="top">0.08</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model structures for critical and post-critical regions:</p>
<p>Pronoun region: lmer (logRT ~ Distractor * Target + (1 &#124; Item) + (1 + Target &#124; Subject), data)</p>
<p>1<sup>st</sup> spillover region: lmer (logRT ~ Distractor * Target + (1 &#124; Item) + (1 &#124; Subject), data)</p>
<p>2<sup>nd</sup> spillover region: lmer (logRT ~ Distractor * Target + (1 &#124; Item) + (1 + Distractor &#124; Subject), data)</p>
<p>Final region: lmer (logRT ~ Distractor * Target + (1 + Target &#124; Item) + (1 + Target &#124; Subject),</p>
</table-wrap-foot></table-wrap>
<p>For the spillover regions following the pronoun, we found main effects of Target at the 1<sup>st</sup> (e.g., <italic>had</italic>) and 2<sup>nd</sup> (e.g., <italic>promoted</italic>) spillover regions (<italic>p</italic>s &lt; 0.01) but no main effects of Distractor. This strengthens the finding from the critical region: the parser only attends to structurally accessible antecedents at initial stages of processing SCO configurations. We find no main effect of Distractor and no significant Target &#215; Distractor interaction at any region. These findings show that the structural constraints for SCO (crossover constraint + Condition C) strictly guide antecedent retrieval during all processing stages.</p>
</sec>
</sec>
<sec>
<title>5.6 Discussion</title>
<p>Experiment 1 employs self-paced reading and acceptability judgments to probe whether structurally inaccessible distractors influence pronoun resolution in the SCO configuration, where both the crossover constraint and Condition C are violated. To this end, we manipulated gender congruency between the pronoun and the candidate antecedents (target and distractor), in order to observe whether the gender of the distractor impacts the acceptability ratings and reading times.</p>
<p>In the post-reading judgment task, we see no interference from the distractor (the <italic>wh</italic>-phrase). Only the gender of the structurally accessible target modulates acceptability ratings, as gender mismatch leads to significantly lower acceptance. This suggests that in an SCO configuration, native English speakers do not consider distractors in their offline judgments. This finding replicates the results of Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>), who similarly observed no gender intrusion from the distractor in SCO. We note that our conclusion is restricted to <italic>wh</italic>-phrases that are thematic arguments and is not intended to generalize to <italic>wh</italic>-phrases that appear inside arguments (e.g. <italic>Which picture of Mary<sub>i</sub> did she<sub>*?i/j</sub> like</italic>?), where coreference can be marginally acceptable to some speakers (e.g., <xref ref-type="bibr" rid="B1">Adger et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Bruening &amp; Al Khalaf, 2019</xref>; <xref ref-type="bibr" rid="B91">Salzmann et al., 2023</xref>).</p>
<p>In the self-paced reading task, where participants read sentences incrementally, we see similar results as in the acceptability judgment task. Specifically, as soon as the pronoun was encountered, the participants showed reading slowdowns in the Target-mismatch conditions relative to Target-match conditions, constituting evidence that targets were considered for retrieval. The absence of gender effects related to the distractor at any processing stage (early or late) in any form (facilitatory or inhibitory) matches the findings of the acceptability judgment task that the structural constraints involved in the SCO configuration strictly guide pronoun resolution. Thus, the reading time results do not align with the Uniform Multiple Constraints Hypothesis, but instead correspond to the predictions of the Early Filter Hypothesis.</p>
<p>Taken together, Experiment 1 replicates the grammatical intuitions and experimental findings from previous studies regarding the unavailability of bound pronoun readings in SCO configurations (e.g., <xref ref-type="bibr" rid="B63">Kush et al., 2017</xref>; <xref ref-type="bibr" rid="B103">Wasow, 1972</xref>). Furthermore, it presents reading time data that support the structurally constrained approach (e.g., <xref ref-type="bibr" rid="B21">Chow et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Cunnings &amp; Sturt, 2014</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B29">Dillon et al., 2013</xref>). We now move on to our other research questions: (i) How acceptable are bound pronoun readings in WCO sentences when the <italic>wh</italic>-operators are D-linked? (ii) Does the crossover constraint apply as an early filter in WCO configurations? To address these questions, we turn to Experiment 2.</p>
</sec>
</sec>
<sec>
<title>6. Experiment 2: Weak crossover</title>
<sec>
<title>6.1 Participants</title>
<p>Ninety-eight native English speakers over age 18 from the Stony Brook University community participated in exchange for course credit. None had participated in Experiment 1.</p>
</sec>
<sec>
<title>6.2 Materials</title>
<p>Experiment 2 adopts a similar design to Experiment 1, fully crossing the factors Target (target match/mismatch) and Distractor (distractor match/mismatch) in a 2 &#215; 2 factorial design. The materials used for Experiment 2 were minimally adapted from those in Experiment 1, with a complex NP as the embedded subject (e.g., <italic>his supervisor</italic>) to create a week crossover configuration, and the matrix predicate (e.g., <italic>wondered</italic>) presented as one region without any object to keep the number of regions in Experiments 1 and 2 identical. Four distinct matrix predicates (<italic>wondered, was curious, asked, knew</italic>) were used and evenly distributed among the 24 target items. See (9) for an example set.</p>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>(10)</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>a.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target match/Distractor match</italic></p></list-item>
<list-item><p>Peter<sub>1</sub> wondered<sub>2</sub> which man<sub>3</sub> in<sub>4</sub> the office<sub>5</sub> his<sub>6</sub> supervisor<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>b.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target match/Distractor mismatch</italic></p></list-item>
<list-item><p>Sarah<sub>1</sub> wondered<sub>2</sub> which man<sub>3</sub> in<sub>4</sub> the office<sub>5</sub> her<sub>6</sub> supervisor<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p></list-item>
</list>
</list-item></list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>c.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target mismatch/Distractor match</italic></p></list-item>
<list-item><p>Sarah<sub>1</sub> wondered<sub>2</sub> which man<sub>3</sub> in<sub>4</sub> the office<sub>5</sub> his<sub>6</sub> supervisor<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p></list-item>
</list>
</list-item>
</list>
</list-item>
</list>
<list list-type="gloss">
<list-item>
<list list-type="wordfirst">
<list-item><p>&#160;</p></list-item>
</list>
<list list-type="wordfirst">
<list-item><p>d.</p></list-item>
</list>
</list-item>
<list-item>
<list list-type="sentence-gloss">
<list-item>
<list list-type="final-sentence">
<list-item><p><italic>Target mismatch/Distractor mismatch</italic></p></list-item>
<list-item><p>Peter<sub>1</sub> wondered<sub>2</sub> which man<sub>3</sub> in<sub>4</sub> the office<sub>5</sub> her<sub>6</sub> supervisor<sub>7</sub> had<sub>8</sub> promoted<sub>9</sub> recently.<sub>10</sub></p></list-item></list>
</list-item>
</list>
</list-item>
</list>
<p>As in Experiment 1, the gender of proper names and pronouns was fully balanced for each condition. The 24 sets of target sentences were mixed with the same 48 fillers from Experiment 1 and randomly distributed to the participants using a Latin Square design.</p>
</sec>
<sec>
<title>6.3 Procedure</title>
<p>The procedure for Experiment 2 was identical to Experiment 1.</p>
</sec>
<sec>
<title>6.4 Data analysis</title>
<p>The same screening procedure described in Section 5.4 was followed. Participants who did not pay close attention to the experiment task (assigning higher scores to ill-formed fillers than to well-formed fillers, giving identical scores to all sentences, or whose mean RTs were below 100 ms) were removed prior to analysis. This step removed 9 participants, leaving 89 participants for final analysis. In addition, for the analysis of reading times, data points outside the range of 100&#8211;4000 ms and 2.5 standard deviations above the mean by region and condition were also removed, which affected 3.44% of the original data. Mixed-effects linear regressions were used for data analyses.</p>
</sec>
<sec>
<title>6.5 Results</title>
<sec>
<title>6.5.1 Acceptability judgments</title>
<p><xref ref-type="fig" rid="F3">Figure 3</xref> shows the 89 participants&#8217; mean acceptability of target sentences by condition in raw and z-scores. The acceptability ratings for well-formed and ill-formed fillers (represented by the two dashed lines in the left panel) are 5.87 and 2.86, respectively. See <xref ref-type="table" rid="T3">Table 3</xref> for statistics.</p>
<fig id="F3">
<caption>
<p><bold>Figure 3:</bold> Mean acceptability of target sentences by condition in raw and z-transformed scores in WCO.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="glossapx-5-1-50525-g3.png"/>
</fig>
<table-wrap id="T3">
<caption>
<p><bold>Table 3:</bold> Summary of statistics on z-transformed ratings of target items in WCO (*: &lt; 0.05).</p>
</caption>
<table>
<tbody>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top"><bold><italic>&#946;</italic></bold></td>
<td align="left" valign="top"><bold><italic>SE</italic></bold></td>
<td align="left" valign="top"><bold><italic>t</italic></bold></td>
<td align="left" valign="top"><bold><italic>p</italic></bold></td>
</tr>
<tr>
<td align="left" valign="top">Target</td>
<td align="left" valign="top">0.31</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">7.58</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">&lt; 0.001*</td>
</tr>
<tr>
<td align="left" valign="top">Distractor</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">0.24</td>
<td align="left" valign="top">0.81</td>
</tr>
<tr>
<td align="left" valign="top">Target &#215; Distractor</td>
<td align="left" valign="top">0.22</td>
<td align="left" valign="top">0.08</td>
<td align="left" valign="top">2.73</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">0.006*</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model structure: lmer (Score ~ Target * Distractor + (1&#124;Item) + (1&#124;Participant), data)</p>
</table-wrap-foot></table-wrap>
<p>The mixed-effect linear model over z-transformed scores reveals a main effect of Target (<italic>p</italic> &lt; 0.001), as Target-mismatch conditions were less acceptable than Target-match conditions, which suggests that the participants often treated the target and the pronoun as coreferential. There is no main effect of Distractor, which means that the structurally inaccessible distractor was not consistently considered in post-reading judgments.</p>
<p>However, the Target &#215; Distractor interaction is significant (<italic>p</italic> = 0.006), demonstrating the influence of the distractor. Despite the modest size of the gender intrusion effects, planned comparisons indicate that, unexpectedly, distractor gender mismatch made the sentence significantly less acceptable within the Target-match conditions (<italic>&#946;</italic> = 0.12, <italic>SE</italic> = 0.06, <italic>t</italic> = 2.11, <italic>p</italic> = 0.04), whereas distractor gender match marginally lowered the acceptability of the sentence within the Target-mismatch conditions (<italic>&#946;</italic> = &#8211;0.17, <italic>SE</italic> = 0.09, <italic>t</italic> = &#8211;1.85, <italic>p</italic> = 0.07) (see similar processing patterns in, e.g., <xref ref-type="bibr" rid="B24">Cunnings &amp; Felser, 2013</xref>; <xref ref-type="bibr" rid="B27">Cunnings &amp; Sturt, 2014</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>; and see <xref ref-type="bibr" rid="B31">Engelmann et al., 2019</xref>, for discussion of such reversed intrusion effects).</p>
<p>Focusing on the two conditions that speak to our theoretical interest &#8211; conditions with gender-matching antecedents in structurally accessible and inaccessible positions (Target-match/Distractor-mismatch in (9b) and Target-mismatch/Distractor-match in (9c)) &#8211; we see that violating the crossover constraint incurs a cost (<italic>&#946;</italic> = &#8211;0.68, <italic>SE</italic> = 0.01, <italic>t</italic> = &#8211;5.82, <italic>p</italic> &lt; 0.001), even though the <italic>wh</italic>-phrase is D-linked. This is not predicted by grammar-based D-linking accounts, which rule in bound pronoun readings in WCO (e.g., <xref ref-type="bibr" rid="B32">Falco, 2010</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>).</p>
<p>Thus, unlike the results for the SCO configuration, distractors in the WCO configuration impact the final stages of pronoun resolution. However, we note that the distractors only play a minor role relative to the targets. The primary significance of the main effect of Target, especially given the contrast between (9b) and (9c), crucially suggests that the WCO effect cannot be reduced entirely to processing factors.</p>
</sec>
<sec>
<title>6.5.2 Reading times</title>
<p><xref ref-type="fig" rid="F4">Figure 4</xref> displays the participants&#8217; mean RTs by region and condition. See <xref ref-type="table" rid="T4">Table 4</xref> for statistics. No effect reaches significance prior to the critical pronoun region. At the pronoun (e.g. <italic>his/her</italic>), a main effect of Target emerges (<italic>p</italic> = 0.009), as gender mismatch between the target and the pronoun leads to reading slowdowns. By contrast, the gender of the distractor does not significantly modulate RTs. The interaction is not significant, either. This means that upon encountering the pronoun, the parser only retrieves the structurally accessible antecedent. No gender intrusion effects appear at this early stage, which is more in line with the predictions of the Early Filter Hypothesis.</p>
<fig id="F4">
<caption>
<p><bold>Figure 4:</bold> Mean RTs (ms) by region and condition in WCO.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="glossapx-5-1-50525-g4.png"/>
</fig>
<table-wrap id="T4">
<caption>
<p><bold>Table 4:</bold> Summary of statistics for log-transformed RTs in WCO (*: &lt; 0.05).</p>
</caption>
<table>
<tbody>
<tr>
<td align="left" valign="top"></td>
<td align="left" valign="top" colspan="4"><bold>Target</bold></td>
<td align="left" valign="top" colspan="4"><bold>Distractor</bold></td>
<td align="left" valign="top" colspan="4"><bold>Target &#215; Distractor</bold></td>
</tr>
<tr>
<td align="left" valign="top"><bold>Region</bold></td>
<td align="left" valign="top"><bold>&#946;</bold></td>
<td align="left" valign="top"><bold>SE</bold></td>
<td align="left" valign="top"><bold>t</bold></td>
<td align="left" valign="top"><bold>p</bold></td>
<td align="left" valign="top"><bold>&#946;</bold></td>
<td align="left" valign="top"><bold>SE</bold></td>
<td align="left" valign="top"><bold>t</bold></td>
<td align="left" valign="top"><bold>p</bold></td>
<td align="left" valign="top"><bold>&#946;</bold></td>
<td align="left" valign="top"><bold>SE</bold></td>
<td align="left" valign="top"><bold>t</bold></td>
<td align="left" valign="top"><bold>p</bold></td>
</tr>
<tr>
<td align="left" valign="top">Peter/Sarah</td>
<td align="left" valign="top">&#8211;0.02</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;1.32</td>
<td align="left" valign="top">0.19</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;1.24</td>
<td align="left" valign="top">0.21</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.43</td>
<td align="left" valign="top">0.67</td>
</tr>
<tr>
<td align="left" valign="top">wondered</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;1.22</td>
<td align="left" valign="top">0.22</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.89</td>
<td align="left" valign="top">0.37</td>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.17</td>
<td align="left" valign="top">0.87</td>
</tr>
<tr>
<td align="left" valign="top">which man</td>
<td align="left" valign="top">&#8211;0.006</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.39</td>
<td align="left" valign="top">0.70</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">1.49</td>
<td align="left" valign="top">0.14</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.55</td>
<td align="left" valign="top">0.58</td>
</tr>
<tr>
<td align="left" valign="top">in</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;1.21</td>
<td align="left" valign="top">0.23</td>
<td align="left" valign="top">&#8211;0.006</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.55</td>
<td align="left" valign="top">0.58</td>
<td align="left" valign="top">&#8211;0.0003</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.99</td>
</tr>
<tr>
<td align="left" valign="top">the office</td>
<td align="left" valign="top">&#8211;0.009</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.74</td>
<td align="left" valign="top">0.46</td>
<td align="left" valign="top">&#8211;0.006</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.48</td>
<td align="left" valign="top">0.63</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">&#8211;0.43</td>
<td align="left" valign="top">0.67</td>
</tr>
<tr>
<td align="left" valign="top">his/her</td>
<td align="left" valign="top">&#8211;0.03</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;2.61</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">0.009*</td>
<td align="left" valign="top">&#8211;0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;1.26</td>
<td align="left" valign="top">0.21</td>
<td align="left" valign="top">&#8211;0.003</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.12</td>
<td align="left" valign="top">0.91</td>
</tr>
<tr>
<td align="left" valign="top">supervisor</td>
<td align="left" valign="top">&#8211;0.07</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;4.46</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">&lt; 0.001*</td>
<td align="left" valign="top">&#8211;0.009</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.70</td>
<td align="left" valign="top">0.49</td>
<td align="left" valign="top">&#8211;0.03</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;1.26</td>
<td align="left" valign="top">0.21</td>
</tr>
<tr>
<td align="left" valign="top">had</td>
<td align="left" valign="top">&#8211;0.02</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;1.69</td>
<td align="left" valign="top">0.09</td>
<td align="left" valign="top">-0.006</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;0.59</td>
<td align="left" valign="top">0.56</td>
<td align="left" valign="top">&#8211;0.02</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;0.89</td>
<td align="left" valign="top">0.38</td>
</tr>
<tr>
<td align="left" valign="top">promoted</td>
<td align="left" valign="top">&#8211;0.02</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#8211;1.54</td>
<td align="left" valign="top">0.13</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">1.10</td>
<td align="left" valign="top">0.27</td>
<td align="left" valign="top">&#8211;0.05</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;2.37</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">0.02*</td>
</tr>
<tr>
<td align="left" valign="top">recently</td>
<td align="left" valign="top">0.06</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">3.20</td>
<td align="left" valign="top" style="background-color:#f3f3f4;">0.001*</td>
<td align="left" valign="top">&#8211;0.03</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#8211;1.28</td>
<td align="left" valign="top">0.21</td>
<td align="left" valign="top">&#8211;0.05</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">&#8211;1.33</td>
<td align="left" valign="top">0.18</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model structures for critical and post-critical regions:</p>
<p>Pronoun region: lmer (logRT ~ Distractor * Target + (1&#124;Item) + (1&#124;Subject), data)</p>
<p>1<sup>st</sup> spillover region: lmer (logRT ~ Distractor * Target + (1&#124;Item) + (1 + Target&#124;Subject), data)</p>
<p>2<sup>nd</sup> spillover region: lmer (logRT ~ Distractor * Target + (1&#124;Item) + (1&#124;Subject), data)</p>
<p>3<sup>rd</sup> spillover region: lmer (logRT ~ Distractor * Target + (1&#124;Item) + (1 + Target&#124;Subject), data)</p>
<p>Final region: lmer (logRT ~ Distractor * Target + (1 + Distractor&#124;Item) + (1 + Distractor&#124;Subject), data)</p>
</table-wrap-foot>
</table-wrap>
<p>At the 1<sup>st</sup> spillover region (e.g., <italic>supervisor</italic>), we found similar results: only the main effect of Target is significant (<italic>p</italic> &lt; .001). There is no main effect of Distractor and no significant Target &#215; Distractor interaction. However, visual inspection suggests that within the Target-match conditions, gender-congruent distractors are associated with faster reading times than incongruent ones, at least numerically. However, this numerical trend is not significant. Thus, the gender of the distractor may be accessible to the parser to a slight degree, but only at a later processing stage.</p>
<p>The 2<sup>nd</sup> spillover region (e.g., <italic>had</italic>) does not show any significant effect. The 3<sup>rd</sup> spillover region (e.g., <italic>promoted</italic>) does not show any main effect, but shows a significant Target &#215; Distractor interaction (<italic>p</italic> = 0.02). Planned comparisons revealed a gender intrusion effect within the Target-mismatch conditions: distractor gender match leads to longer RTs (<italic>&#946;</italic> = 0.04, <italic>SE</italic> = 0.02, <italic>t</italic> = 2.38, <italic>p</italic> = .02), indicating processing difficulty. This inhibitory interference effect within the Target-mismatch conditions &#8211; contrary to the facilitatory interference effect predicted by the Uniform Multiple Constraints Hypothesis &#8211; has been identified in some prior studies (e.g., <xref ref-type="bibr" rid="B21">Chow et al., 2014</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B51">J&#228;ger et al., 2015</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>) and has been taken to suggest that &#8220;readers sometimes attempted to coerce an interpretation in which the pronoun was linked to a syntactically illicit but gender matching antecedent&#8221; (<xref ref-type="bibr" rid="B26">Cunnings et al. 2015, p. 15</xref>).</p>
<p>At the final region, there is only a main effect of Target (<italic>p</italic> = 0.001).<xref ref-type="fn" rid="n6">6</xref> This main effect is due to overall reading slowdowns in the Target-match conditions, which seems different from the main effects of Target in preceding regions. However, visual inspection suggests that this unexpected reversed main effect of the target is due to a distractor-related gender intrusion effect within the Target-match conditions. Planned comparisons support this observation, indicating that gender-congruent distractors lead to faster RTs than gender-incongruent distractors within the Target-match conditions (<italic>&#946;</italic> = &#8211;0.05, <italic>SE</italic> = 0.02, <italic>t</italic> = &#8211;2.20, <italic>p</italic> = .03), but not within the Target-mismatch conditions. This facilitatory interference effect within the Target-match conditions is consistent with the similar pattern discovered at the 1<sup>st</sup> spillover region.</p>
</sec>
</sec>
<sec>
<title>6.6 Discussion</title>
<p>Experiment 2 on WCO aims to examine whether the gender of a structurally inaccessible but D-linked <italic>wh</italic>-phrase modulates real-time pronoun resolution. Recall that previous accounts make divergent predictions regarding these two questions. On the grammatical side, prior crossover theories present divergent predictions, including full ungrammaticality (e.g., Koopman &amp; Sportiche, 1983; <xref ref-type="bibr" rid="B86">Reinhart, 1983</xref>), partial ungrammaticality (e.g., <xref ref-type="bibr" rid="B104">Wasow &amp; Clausen, 2011</xref>), and full acceptability (e.g., <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>). On the processing side, the Uniform Multiple Constraints Hypothesis predicts early gender intrusion effects, while the Early Filter Hypothesis predicts no gender intrusion from the structurally inaccessible distractor.</p>
<p>First, consider the results of the post-reading acceptability judgment task, which speak to the theoretical question regarding specificity/D-linking and the crossover constraint. A key finding of our study is that native English speakers are sensitive to the crossover constraint, regardless of the specificity of the <italic>wh</italic>-phrase. WCO configurations are rated less acceptable when the gender of the target mismatches the gender of the pronoun, which indicates that native speakers attempted to link the pronoun to the target, adhering to the crossover constraint. Comparing sentences like (9b) and (9c) with semantically plausible antecedents in structurally accessible and inaccessible positions, we see that Target-match sentences were judged to be significantly more acceptable than Distractor-match sentences, even though the <italic>wh</italic>-phrase (distractor) is linearly closer to the pronoun (and therefore less subject to memory decay). We interpret this as evidence that structural accessibility outweighs both specificity and linear distance in offline judgments. While these results do not adjudicate between syntactic and non-syntactic explanations of the crossover constraint and our work does not aim to do so, they pose a challenge for specificity-based accounts that predict full acceptability under D-linking (e.g., <xref ref-type="bibr" rid="B32">Falco, 2010</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>).</p>
<p>That said, unlike our Experiment 1 on SCO, our findings regarding WCO point to the possibility that the distractor is considered at later stages of comprehension, as evidenced by the lower ratings of distractor mismatch within the Target-match conditions.<xref ref-type="fn" rid="n7">7</xref> On one account, this may stem from some participants considering the distractor to be the binder of the pronoun due to the specific syntactic representations they have constructed (e.g., the <italic>wh</italic>-phrase first moves to an A-position, in line with <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>). On another account, this may be due to processing reasons (e.g., <xref ref-type="bibr" rid="B23">Culicover, 2013</xref>; <xref ref-type="bibr" rid="B104">Wasow &amp; Clausen, 2011</xref>) as the <italic>wh</italic>-phrase is linearly closer to the pronoun. We refrain from choosing between these two possibilities and simply note that accounts excluding the role of the crossover constraint cannot adequately explain the main effect of Target. It is plausible that a more explanatorily satisfactory theory would incorporate both syntactic and processing factors, as suggested by Wasow and Clausen (<xref ref-type="bibr" rid="B104">2011</xref>).</p>
<p>Next, we turn to the reading times in the self-paced reading task, which pertain to psycholinguistic models. As explained in Section 2, the Uniform Multiple Constraints Hypothesis predicts gender intrusion effects related to the distractor: a facilitatory interference effect in the Target-mismatch conditions and an inhibitory interference effect in the Target-match conditions. While we did observe gender intrusion effects in RTs in Experiment 2, the results are inconsistent with the predictions of the Uniform Multiple Constraints Hypothesis for two reasons. First, gender intrusion only reliably occurs at the final wrap-up region and numerically at the 1<sup>st</sup> spillover region. Second, the direction of the gender intrusion effects is opposite to the predictions. We observed facilitatory interference in the Target-match conditions and inhibitory interference in the Target-mismatch conditions (see, e.g., <xref ref-type="bibr" rid="B21">Chow et al., 2014</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B24">Cunnings &amp; Felser, 2013</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>, for similar findings). Furthermore, the RTs reported in Experiment 2 differ from Kush et al.&#8217;s (<xref ref-type="bibr" rid="B63">2017</xref>) findings and thus do not align with a weaker version of the Early Filter Hypothesis mentioned previously in Section 2, which posits that the crossover constraint is less weighted during initial processing compared to other structural constraints (e.g., Condition C). This variant version is not supported by our study due to the late emergence of gender intrusion effects. Instead, our findings are more consistent with the standard Early Filter Hypothesis, which views configurational constraints as early filters to pronoun resolution, regardless of the ultimate theoretical source of the constraint. Therefore, regardless of the type of constraint involved, WCO or SCO, our experimental findings suggest that native English speakers only consider structurally accessible referents during initial stages of processing.</p>
</sec>
</sec>
<sec>
<title>7. General discussion</title>
<sec>
<title>7.1 Summary of results</title>
<p>The two experiments reported in this article aim to achieve two goals. Our primary goal is to examine two competing views of pronoun resolution: while the Uniform Multiple Constraints Hypothesis predicts early gender intrusion effects during pronoun resolution, the Early Filter Hypothesis predicts that structurally inaccessible antecedents should not be considered at early stages of processing. To adjudicate between these views, we examined how gender congruency between pronouns and potential antecedents affects offline acceptability judgments and online processing in SCO and WCO configurations. A secondary goal is to assess the acceptability of bound pronoun readings in WCO configurations, thus contributing to theoretical discussions concerning D-linking and the crossover effect.</p>
<p>In Experiment 1 on SCO configurations, we discovered clear evidence that structurally inaccessible distractors (i.e., <italic>wh</italic>-phrases) are not considered as antecedents in either incremental processing or in global interpretation. In post-reading acceptability judgments, our participants only showed sensitivity to the gender of the structurally accessible target, since gender mismatch between the pronoun and the target led to lower acceptability ratings. No interference from the distractor was observed. Reading times from self-paced reading yielded similar results: a gender mismatch effect, serving as a diagnostic for detecting binding attempts in processing, emerged immediately at the pronoun when the target mismatched in gender, but no such effect was observed for the distractor at any region. Together, these results replicate previous findings obtained with different experimental designs/paradigms (<xref ref-type="bibr" rid="B34">Felser &amp; Drummer, 2017</xref>; <xref ref-type="bibr" rid="B63">Kush et al., 2017</xref>) and indicate that pronoun resolution in SCO configurations is strictly constrained by structural principles (Condition C plus the crossover constraint). Experiment 1 therefore establishes a clear baseline against which the processing of WCO configurations in Experiment 2 can be evaluated.</p>
<p>In Experiment 2 on WCO configurations, we found a more nuanced pattern compared to Experiment 1 on SCO. In the acceptability judgment task, participants primarily linked the pronoun to the structurally accessible target, as indicated by higher ratings for Target-match than Target-mismatch conditions. However, unlike in SCO, the distractor also had an (albeit limited) influence: within Target-match conditions, gender mismatch with the distractor led to lower acceptability. This pattern suggests that the crossover constraint is weaker in WCO than in SCO, where it is reinforced by Condition C. Nevertheless, the crossover effect was observed in WCO, even with D-linked <italic>wh</italic>-phrases, which does not align with accounts predicting full grammaticality for WCO configurations under D-linking (e.g., <xref ref-type="bibr" rid="B32">Falco, 2010</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>).</p>
<p>Pertaining to the evaluation of sentence processing models, the results of the current study are more in line with the Early Filter Hypothesis than the Uniform Multiple Constraints Hypothesis. As explained in previous sections, the latter predicts early gender intrusion, while the former predicts the absence of such intrusion. As we saw in Experiment 2, the gender intrusion effects during incremental processing are absent at the critical pronoun region, which lends support to the Early Filter Hypothesis. Gender intrusion only emerges at later spillover regions, and the direction of the gender intrusion may present further challenge to the Uniform Multiple Constraints Hypothesis, since our finding (i.e., facilitatory interference in the Target-match conditions and inhibitory interference in the Target-mismatch conditions) is the opposite to its predictions. By contrast, delayed gender intrusion effects do not pose a challenge to the structurally-constrained approach because structural constraints can be &#8216;defeasible&#8217; at later stages (e.g., <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>).</p>
<p>To summarize, the findings from the current study suggest that the crossover constraint is arguably not reducible to processing factors alone and that it strictly guides antecedent retrieval at the early processing stages in WCO configurations. Moving forward, we discuss some broader implications of our study for understanding the similarities and differences between the SCO and WCO configurations. Given our priority, we first focus on models of sentence processing and potential alternative explanations for our results, before turning to linguistic discussions.</p>
</sec>
<sec>
<title>7.2 The structural primacy effect and the processing of crossover configurations</title>
<p>One major finding of our study is that the crossover constraint applies early in incremental pronoun resolution, albeit being defeasible during later processing stages. In this section, we focus on two patterns that have implications for understanding pronoun resolution: (i) the absence of gender intrusion at the pronoun region and (ii) the contrastive processing profiles of SCO and WCO configurations.</p>
<p>We begin with the absence of gender intrusion at the pronoun region in real-time processing. The overall reading-time patterns observed in our experiments closely mirror those reported in a large body of prior work investigating the accessibility of structurally accessible versus inaccessible antecedents (e.g., <xref ref-type="bibr" rid="B21">Chow et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Cunnings &amp; Sturt, 2014</xref>; <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B29">Dillon et al., 2013</xref>; <xref ref-type="bibr" rid="B36">Felser et al., 2009</xref>; <xref ref-type="bibr" rid="B62">Kush et al., 2015</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>). These studies converge on the conclusion that, at early stages of processing, structural cues are prioritized, or at least heavily weighted, relative to non-structural cues (e.g., <xref ref-type="bibr" rid="B102">Van Dyke &amp; McElree, 2011</xref>). This pattern is commonly taken to support a strong interpretation of the Early Filter Hypothesis. Our findings are consistent with this view, suggesting that the crossover constraint, like other configurational constraints, is operative early on and can effectively filter out structurally inaccessible antecedents during the initial stages of pronoun resolution.</p>
<p>At the same time, our results differ from those of Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>), who reported early gender intrusion in WCO configurations. As discussed earlier, one plausible source of this discrepancy lies in differences in structural complexity between the sentence structures tested. In our stimuli, the <italic>wh</italic>-phrase and the pronoun occur within the same clause, whereas in Kush and colleagues&#8217; study, the pronoun is more embedded in a subordinate clause. It is well established that increased linear and structural distance between dependent elements increases processing demands. Under such conditions, comprehenders may be more likely to misrepresent the syntactic position of the <italic>wh</italic>-phrase (e.g., as in an A-position) or to establish ungrammatical anaphoric dependencies as a way of alleviating processing load (see, e.g., <xref ref-type="bibr" rid="B15">Chac&#243;n, 2019</xref>). From this perspective, early gender intrusion effects in more complex structures may reflect processing pressure rather than the early accessibility of non-structural constraints.</p>
<p>Despite the robust structural primacy effect observed in our study, we caution against overgeneralizing our findings to suggest that all structural constraints are invariably prioritized, regardless of the specific competing constraints and the language under consideration. In fact, crosslinguistic evidence suggests that discourse-level factors, such as discourse topicality and logophoric prominence, can influence pronoun resolution during early stages of processing, especially in languages (e.g., Chinese, Korean) and structures (e.g., logophoric contexts) where discourse prominence plays a crucial role (e.g., <xref ref-type="bibr" rid="B46">Han et al., 2015</xref>; <xref ref-type="bibr" rid="B51">J&#228;ger et al., 2015</xref>; <xref ref-type="bibr" rid="B54">Kaiser et al., 2009</xref>; <xref ref-type="bibr" rid="B68">Lyu &amp; Kaiser, 2021</xref>, <xref ref-type="bibr" rid="B69">2024</xref>; <xref ref-type="bibr" rid="B95">Sloggett, 2017</xref>). Therefore, our conclusions regarding the structural primacy effect during incremental processing are restricted to the specific constraint of crossover in English. We also note that the structural primacy effect should be understood as a relative, rather than an absolute, notion; our results only suggest that the target is retrieved earlier <italic>relative to</italic> the distractor at the point when the pronoun is encountered. As self-paced reading methods do not provide distinct measures of early-stage versus late-stage processing, further research using eye-tracking methods is needed before stronger conclusions can be drawn.</p>
<p>Next, we turn our attention to the comparison between the processing patterns of SCO and WCO, which speaks to how we understand different approaches to pronoun resolution. Recall that some previous studies found no gender intrusion effects from structurally inaccessible distractors in SCO, but clear evidence of gender intrusion in WCO (<xref ref-type="bibr" rid="B34">Felser &amp; Drummer, 2017</xref>; <xref ref-type="bibr" rid="B63">Kush et al., 2017</xref>). These results align more closely with a weaker interpretation of the Early Filter Hypothesis which suggests that only certain structural constraints are applied early on and are given precedence over non-structural constraints. As mentioned above, we are open to this nuanced position, particularly when discourse-based constraints are at play, but our findings seem to indicate that the crossover constraint does not fall into the category of &#8220;weak&#8221; structural constraints. Instead, given similar processing patterns for SCO and WCO at the pronoun region in our study, it appears that the crossover constraint acts as a robust early filter in pronoun resolution.</p>
<p>How, then, do we make sense of the different processing patterns of SCO and WCO at the later stages, and how can our results be reconciled with previous studies that present different findings? We hypothesize that although individual structural constraints may be overridden at later stages, the cumulative effect of multiple constraints can mitigate against distractor interference at later stages. Indeed, other structural constraints examined in isolation indicate similar delayed gender intrusion effects in relation to Condition A (e.g., <xref ref-type="bibr" rid="B27">Cunnings &amp; Sturt, 2014</xref>; <xref ref-type="bibr" rid="B98">Sturt, 2003</xref>), Condition B (e.g., <xref ref-type="bibr" rid="B28">Cunnings &amp; Sturt, 2018</xref>), and even Condition C (e.g., <xref ref-type="bibr" rid="B55">Kazanina et al., 2007</xref>), which contrast with our findings for SCO configurations. Viewed from this perspective, the different processing patterns of SCO and WCO are not necessarily related to the differences between the crossover constraint and Condition C, as suggested by Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>), but rather to the number of structural constraints at work. Additionally, pragmatic factors such as discourse plausibility (see more in Section 7.4) may also play a disproportional role in WCO configurations relative to SCO configurations during the later/global stages of processing (e.g., <xref ref-type="bibr" rid="B42">Gor, 2020</xref>; <xref ref-type="bibr" rid="B43">Gor &amp; Syrett, 2019</xref>).</p>
</sec>
<sec>
<title>7.3 Potential alternative explanations for the structural primacy effect</title>
<p>We now consider four alternative explanations for the structural primacy effect observed during the early-stage processing of crossover configurations. While some of these accounts can capture certain aspects of our results, they do not cover the full range of facts; other alternative accounts remain viable in principle, but would require additional empirical support to offer a strong alternative to a structurally constrained account.</p>
<p>The first alternative account relates to the potential preference for coreferential readings. As the target referent in crossover configurations is a referential DP, whereas the distractor is a <italic>wh</italic>-operator, one potential alternative explanation is that the target advantage reflects a general bias for coreferential over bound variable readings. It is possible that bound variable readings may incur greater processing costs and that this processing burden, instead of the crossover constraint, leads to the absence of gender intrusion by the distractor.</p>
<p>However, this explanation is hard to reconcile with existing psycholinguistic evidence for two reasons. First, when both bound variable and coreferential options are available, native speakers often prefer bound variable readings (e.g., <xref ref-type="bibr" rid="B25">Cunnings et al., 2014</xref>; <xref ref-type="bibr" rid="B39">Frazier &amp; Clifton, 2000</xref>; <xref ref-type="bibr" rid="B58">Koornneef, 2008</xref>; <xref ref-type="bibr" rid="B60">Koornneef et al., 2006</xref>, <xref ref-type="bibr" rid="B59">2011</xref>; <xref ref-type="bibr" rid="B83">Puebla &amp; Felser, 2024</xref>). This pattern challenges the view that bound variable readings are generally disfavored due to higher processing costs. Second, pronoun resolution is strongly influenced by linear proximity (e.g., <xref ref-type="bibr" rid="B25">Cunnings et al., 2014</xref>; <xref ref-type="bibr" rid="B76">Omaki et al., 2019</xref>). In our materials, the distractor (<italic>wh</italic>-phrase) is linearly closer to the pronoun. If structural constraints were not operative at early stages, the bound variable reading should enjoy a clear processing advantage. However, contrary to this prediction, we observed no gender intrusion from the distractor during the initial stages of processing, suggesting that the structural primacy effect is plausibly related to the crossover constraint.</p>
<p>The second alternative invokes the parallel function constraint (e.g., <xref ref-type="bibr" rid="B16">Chambers &amp; Smyth, 1998</xref>; <xref ref-type="bibr" rid="B94">Sheldon, 1974</xref>; <xref ref-type="bibr" rid="B96">Smyth, 1994</xref>): could the preference we observed for the (subject) target stem from a bias toward antecedents that share the same grammatical function as the (subject) pronoun, rather than the operation of the crossover constraint per se? This account seems untenable when applied to WCO sentences. While the parallel function constraint is plausibly relevant for SCO sentences (e.g., <italic><bold>Peter</bold> wondered which man in the office <bold>he&#8230;</bold></italic>), it is less straightforwardly applicable in WCO sentences, where the pronoun appears as a genitive modifying a subject (e.g., <italic><bold>Peter</bold> wondered which man in the office <bold>his</bold> supervisor&#8230;</italic>). Given the lack of grammatical role parallelism in WCO, it seems that the parallel function constraint alone cannot account for the structural primacy effects observed in the WCO experiment.</p>
<p>A third alternative concerns the potential role of Condition B. A reviewer suggests that comprehenders may underspecify <italic>wh</italic>-movement during incremental processing and thus may only consider coreferential readings at the point when the pronoun is initially encountered. On this view, Condition B would rule out the most local referent in favor of a non-local one, i.e., the target, thereby producing the observed preference for the target referent without appeal to the crossover constraint. However, this proposal seems inadequate in light of existing psycholinguistic evidence and in terms of its empirical coverage. First, previous work indicates that native speakers do compute <italic>wh</italic>-movement during online processing, as revealed by evidence for immediate gap positions (e.g., <xref ref-type="bibr" rid="B35">Felser &amp; Roberts, 2007</xref>; <xref ref-type="bibr" rid="B41">Gibson &amp; Warren, 2004</xref>; <xref ref-type="bibr" rid="B56">Keine, 2020</xref>). In light of this, it is reasonable to assume that participants in our study had already constructed a representation of <italic>wh</italic>-movement when the pronoun was encountered. Second, this account does not extend to our WCO sentences: since Condition B does not rule out coreference between the <italic>wh</italic>-phrase and the possessive pronoun (as they are not co-arguments), we should observe coreferential effects, contrary to our findings. Given these reasons, we think that Condition B cannot fully account for our findings.</p>
<p>The last alternative account we consider is topicality. The idea is that the target referent, a proper name no less, may be construed as a topic. Since topicality boosts referential accessibility (e.g., <xref ref-type="bibr" rid="B5">Ariel, 1990</xref>; <xref ref-type="bibr" rid="B6">Arnold, 2010</xref>; <xref ref-type="bibr" rid="B53">Kaiser, 2011</xref>), the preference for the target may stem at least partly from a preference for a topical referent. Relatedly, an anonymous reviewer points out that the structural primacy effect observed in SCO may plausibly reduce to Condition C effects, whereas the corresponding effect in WCO could instead arise from discourse-pragmatic factors (e.g., topicality), without requiring an independent crossover constraint. Under such an interpretation, the dispreference for the distractor antecedent in WCO may reflect differences in discourse rather than structural accessibility.</p>
<p>We acknowledge that this alternative interpretation has important implications for how the WCO findings should be understood, and we therefore adopt a more cautious interpretation of the results. At the same time, we note that although the matrix subject can be theoretically analyzed as a discourse topic even in a stand-alone sentence, topicality was not independently established or manipulated in our experimental design. Therefore, whether and to what extent participants actually treated the matrix subject as a discourse topic is unclear (also see <xref ref-type="bibr" rid="B53">Kaiser, 2011</xref>, on the dissociation between subjecthood and topicality in English). Thus, while discourse accessibility could potentially account for the crossover effect, we remain cautious about to what extent this account affects our core conclusions regarding the crossover constraint as an early filter.</p>
<p>In sum, although these alternatives may account for parts of our findings, none provide a fully satisfactory account of the early-stage structural primacy effects. We thus conclude that the Early Filter Hypothesis offers a more plausible account of our results, but acknowledge that potential effects of discourse-level factors merit further investigation.</p>
</sec>
<sec>
<title>7.4 Implications for theoretical accounts of crossover</title>
<p>For the remainder of our discussion, we focus on the theoretical implications of our findings. In particular, the current study speaks to ongoing debates about the nature of crossover configurations and the role of D-linking in licensing bound variable interpretations.</p>
<p>First, our results provide empirical evidence that challenges claims that D-linking bleeds the crossover constraint (e.g., <xref ref-type="bibr" rid="B32">Falco, 2010</xref>; <xref ref-type="bibr" rid="B50">Ishii, 2006</xref>). Recall that Ishii (<xref ref-type="bibr" rid="B50">2006</xref>) proposes that a D-linked <italic>wh</italic>-phrase initially moves to an A-position, rendering the crossover constraint vacuous (e.g., <xref ref-type="bibr" rid="B72">Mahajan, 1990</xref>; <xref ref-type="bibr" rid="B86">Reinhart, 1983</xref>). Under this analysis, a bound variable interpretation of the pronoun in a WCO configuration should be available from the earliest stages of the syntactic derivation. Similarly, Falco&#8217;s (<xref ref-type="bibr" rid="B32">2010</xref>) feature-matching account, which derives binding via agreement feature correspondence between the <italic>wh</italic>-operator and the pronominal variable, predicts full availability of bound variable readings in such configurations.</p>
<p>The results of our acceptability judgment study concerning WCO sentences with D-linked <italic>wh</italic>-phrases indicate that native English speakers prefer coreference with gender-congruent targets over gender-congruent distractors. Crucially, the online reading-time data further indicate that native speakers initially retrieve the target referent and only consider the distractor at later stages, and, even then, to a limited extent. If D-linking were to bleed the crossover constraint from the outset, one would expect the <italic>wh</italic>-phrase to be immediately accessible during real-time parsing. This prediction is not borne out by our results. Instead, our findings align better with alternative linguistic accounts that (i) predict crossover effects regardless of the referential complexity of <italic>wh</italic>-operators (e.g., <xref ref-type="bibr" rid="B2">Ag&#252;ero-Bautista, 2012</xref>; <xref ref-type="bibr" rid="B57">Koopman &amp; Sportiche, 1982</xref>; <xref ref-type="bibr" rid="B86">Reinhart, 1983</xref>; <xref ref-type="bibr" rid="B93">Shan &amp; Barker, 2006</xref>) and (ii) attribute the D-linking effect, characterized by the increased acceptability of D-linked <italic>wh</italic>-phrases relative to bare ones (e.g., <xref ref-type="bibr" rid="B104">Wasow &amp; Clausen, 2011</xref>), to non-syntactic factors (e.g., informativity, plausibility, processing).</p>
<p>Our results are more compatible with a &#8220;non-reductionist&#8221; view that assigns an independent role to the crossover constraint. At the same time, it is worth considering Culicover&#8217;s (<xref ref-type="bibr" rid="B23">2013</xref>) processing-based account as a potential complementary perspective. Culicover proposes that crossover effects arise from the low accessibility of <italic>wh</italic>-phrases at the point when the pronoun is encountered, due to their underspecified grammatical function and thematic role. However, this factor does not fully account for the present findings. In particular, the <italic>wh</italic>-phrases in our materials are highly referential &#8211; being D-linked and further modified by a prepositional phrase &#8211; which should mitigate accessibility-based limitations. Indeed, WCO configurations with heavily modified <italic>wh</italic>-phrases have been taken to be fully grammatical (see <xref ref-type="bibr" rid="B23">Culicover, 2013, p. 130</xref>). Thus, for Culicover&#8217;s account to be reconciled with the early structural primacy effects, a more explicitly articulated model that quantifies the interaction of various processing factors is needed.</p>
<p>We acknowledge a limitation in our study regarding specificity, as noted by an anonymous reviewer. D-linking was not explicitly manipulated in our design, and a bare <italic>wh</italic>-phrase baseline is unavailable, since bare <italic>wh</italic>-phrases do not inflect for gender agreement in English. For this reason, our results only constitute indirect evidence against analyses that predict early availability of bound variable readings with D-linked <italic>wh</italic>-phrases. That said, we note that the predictions of D-linking accounts should remain applicable to the structures tested in our study even in the absence of a non-D-linked comparison condition; such a baseline would only serve to quantify the magnitude of any D-linking effect. Additionally, we also acknowledge that Falco&#8217;s account could potentially accommodate the present findings, if the proposed feature-matching mechanism were assumed to operate at a later stage of processing, even though this extension lies beyond the original proposal. Nevertheless, we believe that our findings contribute meaningfully to theoretical discussions by providing experimental evidence on the interaction between D-linking and crossover in both offline judgments and online processing.</p>
<p>Second, this study highlights the similarities, in addition to the differences, between WCO and SCO. While it has been noted since Wasow (<xref ref-type="bibr" rid="B103">1972</xref>) that bound variable readings are considerably less acceptable in SCO than in WCO, it remains unclear how we should interpret this difference in acceptability. A common view held by many researchers is that the crossover constraint is violable, and that the stronger crossover effect observed in SCO is due to the (additional) violation of Condition C, which effectively rules out bound pronoun readings (e.g., <xref ref-type="bibr" rid="B13">Bruening &amp; Al Khalaf, 2019</xref>; <xref ref-type="bibr" rid="B64">Lasnik &amp; Stowell, 1991</xref>). However, our experimental results refine this picture by showing how the crossover constraint operates over time. We find that the crossover constraint influences interpretation in both SCO and WCO configurations, and that the two constructions show similar processing profiles at early stages. In both Experiments 1 and 2, early reading-time measures reveal no gender intrusion effects and only a main effect of the structurally accessible target, suggesting that SCO and WCO are processed similarly during initial pronoun resolution.</p>
<p>Our findings demonstrate that the differences between SCO and WCO only emerge during later stages of processing. In this respect, our study provides preliminary insight into when, rather than merely whether, the two configurations diverge. As for the source of these later-stage differences, prior experimental work suggests that pragmatic factors, such as plausibility, can modulate the strength of Condition C effects (e.g., <xref ref-type="bibr" rid="B42">Gor, 2020</xref>; <xref ref-type="bibr" rid="B47">Harris &amp; Bates, 2002</xref>; <xref ref-type="bibr" rid="B91">Salzmann et al., 2023</xref>). Indeed, plausibility conceivably may have played a more prominent role in SCO. For example, while it is plausible for someone to be affected by the actions of others (e.g., being promoted by one&#8217;s supervisor), as in WCO sentences like (9), it is less plausible for someone to perform an action on themselves (e.g., promoting themselves), as in SCO sentences like (8). To closely examine the independent role of Condition C as a structural effect and the extent to which it constrains the bound pronoun readings in SCO, future studies should carefully tease apart the factors of plausibility and Condition C. We regard this as a valuable direction for future research.</p>
</sec>
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<title>8. Conclusion</title>
<p>This study examines whether, how, and when bound pronoun readings are available in crossover configurations. Using acceptability judgment and self-paced reading tasks, we find that pronominal variable readings are excluded from consideration by native English speakers in both strong and weak crossover sentences during early processing stages. This suggests that the structural crossover constraint applies immediately to preclude structurally inaccessible <italic>wh</italic>-phrases. Only during the later resolution stages is the <italic>wh</italic>-phrase considered, exclusively in weak crossover constructions. In strong crossover constructions, the structurally inaccessible <italic>wh</italic>-phrase is disregarded throughout, which we attribute to the presence of an additional structural constraint, namely, Condition C.</p>
<p>Taken together, these findings suggest that the crossover effect cannot be fully reduced to processing limitations. Rather, they support the view that real-time antecedent retrieval in English is tightly constrained by structural information from the earliest stages of comprehension. We note, however, that our conclusions are based on self-paced reading data, which provide relatively coarse-grained temporal resolution. Future research using methodologies with distinct measures for early- versus late-stage processing, such as eye-tracking during reading, will be crucial for shedding more light on our understanding of how structural constraints impact pronoun resolution in real time.</p>
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</body>
<back>
<fn-group>
<fn id="n1"><p>A reviewer notes that the SCO effect is often taken to be reduced to a Condition C violation (e.g., <xref ref-type="bibr" rid="B22">Citko, 2001</xref>; <xref ref-type="bibr" rid="B65">Lebeaux, 1991</xref>) and that the WCO effect may instead reflect discourse-related constraints rather than structural constraints. In this article, we follow Kush et al. (<xref ref-type="bibr" rid="B63">2017</xref>) in assuming that both the crossover constraint and Condition C are violated, as they are conceptually distinct, albeit often co-occurring, constraints. Nevertheless, we return to this alternative theoretical perspective in Section 7.3 and discuss how it may bear on the interpretation of the WCO results.</p></fn>
<fn id="n2"><p>We note that the WCO effect can be suspended by focus in sentences like <italic>Who does his own niece detest?</italic> (e.g., <xref ref-type="bibr" rid="B2">Ag&#252;ero-Bautista, 2012</xref>; <xref ref-type="bibr" rid="B82">Postal, 1993</xref>). The present study does not involve WCO constructions with focused pronouns.</p></fn>
<fn id="n3"><p>What matters for our prediction is the relative timing of structural vs. non-structural constraints. Following prior formulations of the multiple constraints approach, non-structural constraints are expected to cause some degree of early interference effects. However, we acknowledge a reviewer&#8217;s insight that alternative implementations of multiple constraints approaches may assign differential weights to structural and non-structural constraints, such that structural information could be prioritized over gender agreement. While such variants are certainly plausible, and have indeed been proposed in prior work (e.g., <xref ref-type="bibr" rid="B54">Kaiser et al., 2009</xref>; <xref ref-type="bibr" rid="B77">Parker &amp; Phillips, 2017</xref>; <xref ref-type="bibr" rid="B102">Van Dyke &amp; McElree, 2011</xref>), we start with the assumption that different cues are weighted similarly for this approach. We view this as a valuable starting point that can be refined in future work.</p></fn>
<fn id="n4"><p>Here, we illustrate pronoun resolution under a cue-based retrieval framework to make more precise predictions about reading times, in line with more recent work (e.g., <xref ref-type="bibr" rid="B26">Cunnings et al., 2015</xref>; <xref ref-type="bibr" rid="B52">J&#228;ger et al., 2017</xref>). As an anonymous reviewer correctly points out, different implementations of the Multiple Constraints Hypothesis (e.g., <xref ref-type="bibr" rid="B70">MacDonald, 1993</xref>; <xref ref-type="bibr" rid="B71">MacDonald et al., 1994</xref>) might not necessarily align in predictions regarding the direction of the distractor interference effects. Although we agree that the direction of the effects is theoretically important for evaluating particular implementations of the model, our focus is narrower: despite potential differences, the various implementations converge in predicting that distractors should exert some influence during early processing, facilitatory or inhibitory. Therefore, our predictions focus on the presence versus absence of early distractor interference effects, rather than on the direction of the effects.</p></fn>
<fn id="n5"><p>This article deals only with crossover configurations involving displaced arguments (e.g., <italic>which man</italic>) that obligatorily undergo reconstruction (e.g., <xref ref-type="bibr" rid="B49">Huang, 1993</xref>), unlike adjuncts (e.g., <italic>which picture</italic> near John <italic>did he like</italic>?) (e.g., <xref ref-type="bibr" rid="B65">Lebeaux, 1991</xref>).</p></fn>
<fn id="n6"><p>We agree with an anonymous reviewer that wrap-up effects should be interpreted with caution due to additional cognitive processes involved. Nonetheless, we have opted to include the final region for statistical analysis, as prior studies have shown that it often reflects meaningful integrative processes such as ambiguity resolution (e.g., <xref ref-type="bibr" rid="B48">Hirotani et al., 2006</xref>; <xref ref-type="bibr" rid="B75">Meister et al., 2022</xref>; <xref ref-type="bibr" rid="B85">Rayner et al., 2000</xref>; <xref ref-type="bibr" rid="B97">Stowe et al., 2018</xref>).</p></fn>
<fn id="n7"><p>A reviewer also noted an inhibitory effect within the Target-mismatch conditions, where gender-congruent distractors led to slightly lower acceptability. Although this trend was not statistically significant, it may reflect participants initially considering the distractor as a potential antecedent, before retracting the anaphoric dependency (e.g., <xref ref-type="bibr" rid="B55">Kazanina et al., 2007</xref>). Alternatively, participants may have attempted to coerce an anaphoric interpretation, resulting in increased processing difficulty.</p></fn>
</fn-group>
<sec>
<title>Data accessibility statement</title>
<p>The data and analyses are available at <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://osf.io/k4cvj">https://osf.io/k4cvj</ext-link>.</p>
</sec>
<sec>
<title>Ethics and consent</title>
<p>Data collection was remote and was in accordance with the 1964 Helsinki Declaration and its later amendments. The study was approved by the Institutional Review Board (IRB) of the authors&#8217; institutions.</p>
</sec>
<sec>
<title>Acknowledgements</title>
<p>We thank the anonymous reviewers and the editor for their insightful comments and suggestions, which greatly improved this article. We also thank the audience at the 37th Annual Conference on Human Sentence Processing (HSP) for valuable feedback and suggestions.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors have no competing interests to declare.</p>
</sec>
<sec>
<title>Authors&#8217; contributions</title>
<p>Jun Lyu: Conceptualization, Data curation, Formal analysis, Investigation: Lead, Methodology, Visualization, Writing &#8211; original draft: Lead, Writing &#8211; review and editing: Equal.</p>
<p>Jiwon Yun: Investigation: Supporting, Resources, Writing &#8211; original draft: Supporting, Writing &#8211; review and editing: Equal.</p>
<p>Elsi Kaiser: Investigation: Supporting, Writing &#8211; original draft: Supporting, Writing &#8211; review and editing: Supporting.</p>
</sec>
<sec>
<title>ORCiD IDs</title>
<p>Jun Lyu: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://orcid.org/0000-0001-5974-3376">0000-0001-5974-3376</ext-link></p>
<p>Jiwon Yun: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://orcid.org/0000-0002-6516-1898">0000-0002-6516-1898</ext-link></p>
<p>Elsi Kaiser: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://orcid.org/0000-0003-3594-4127">0000-0003-3594-4127</ext-link></p>
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