Analysis of English Sentence Dependency Syntax Based on Python

In recent years, with the continuous deepening of globalization, there have been more and more international learning, cooperation, and other forms of communication that cannot be separated from the support of english. Therefore, English has become very important as an internationally recognized means of communication, and as a result, more and more people are learning English. In order to provide assistance for English learners to deepen their understanding of English sentence dependency syntax, this study proposes a Python based English sentence dependency syntax analysis method. Firstly, the natural language processing module of Python is used to segment three example sentences and obtain key word information in the sentences; Then perform part of speech tagging to indicate the properties of words in the sentence; Then annotate the named entity, identify and extract the named entity; The next step is word vector analysis, which represents words mathematically; The final step is sentence dependency syntax analysis, which displays the dependency relationships between words within the sentence through visual images and tables after processing. After the above 5 steps, the dependency syntax of English sentences can be analyzed, which is efficient, accurate, and can help quickly analyze dependency relationships.