A Natural Language Sentence Analysis Algorithm Based on Word Order Modifier Syntax Rules

This thesis discusses the decomposition of natural language sentences based on the rules of order-modified syntax. By making a comprehensive use of the combination of part-of-speech tagging, syntactic structure and sentence organization information, we propose to apply the custom rules to achieve the decomposition of sentences. The visualization of the decomposition results under a certain condition of part-of-speech tagging and word order is realized, which provides a new idea for the development of syntactic analysis structure.