Proceedings of the Annual Meeting of the Cognitive Science Society

SPACY is a well-known package for NLP analysis for delineating the Verb phrases and Direct Objects in English byapplying the default structures to define noun phrase. However, SPACY lacks a function to include the status of adjectivesand vast amount of noun phrase structures for identifying the relationship between Verbs and Nouns efficiently. Thepresent study develops a SPACY-based program to customize practical noun phrase structures written in industrial SOPsfor machine operations. It performs better at merging overlapping structures, for example, a sentence An important thingof NLP is hard to define can be processed to be An important thing, NLP, thing of NLP; and then automatically mergedinto one noun phrase An important thing of NLP. The capacity of the program can abstract the core concepts of sentencesand recognize the co-occurrences of noun phrases and their associated verbs from the corpus for research and applicationpurposes.