A tool to analyze verb phrase and noun phrase relationship in sentences
- Te-En Huang, National Cheng Kung University, Tainan, Taiwan
- Tao-Hsing Chang, Department of Computer Science and Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan
- ADAT Technology Co., ADAT Technology Co., ADAT Technology Co., Tainan, Taiwan
- Jon-Fan Hu, Department of Psychology, National Cheng Kung University, Tainan City, Taiwan
AbstractSPACY is a well-known package for NLP analysis for delineating the Verb phrases and Direct Objects in English by applying the default structures to define noun phrase. However, SPACY lacks a function to include the status of adjectives and vast amount of noun phrase structures for identifying the relationship between Verbs and Nouns efficiently. The present study develops a SPACY-based program to customize practical noun phrase structures written in industrial SOPs for machine operations. It performs better at merging overlapping structures, for example, a sentence “An important thing of NLP is hard to define” can be processed to be “An important thing, NLP, thing of NLP”; and then automatically merged into one noun phrase “An important thing of NLP”. The capacity of the program can abstract the core concepts of sentences and recognize the co-occurrences of noun phrases and their associated verbs from the corpus for research and application purposes.
Return to previous page