This paper presents experimental evidence for a model of human language processing in which ambiguity resolution is delayed when there is a conflict between semantic contextual bias and the syntactically preferred interpretation. If there is no conflict, an immediate decision is made. Decision is not delayed indefinitely; the length of the delay is limited by available processing resources.

Research on connectionist mapping from written to spoken forms in natural language is presented. For this task, the more plausible Simple Recurrent Networks were used instead of static Neural Networks. The model was trained on a Dutch monosyllabic corpus. The effects of frequency, length and consistency were examined and were found similar to reported data in psycholinguistic experiments.