Intelligent Collection and Semantic Matching Algorithm for English-Chinese Corpus Based on Cluster Data Mining

This paper proposes the intelligent collection and algorithm matching of the English-Chinese material library based on database data mining. With the help of the part-of-speech dictionary in the “Concise Vocabulary Dictionary” published in “Modern Chinese” published in 2005, the conversion words in the English-Chinese dictionary are compared., Found that there are 30 conversion words, which are Chinese and English words. 666 species. This paper proposes an input feature recognition system that analyzes the input language of parallel corpus. To carry out different levels of corpus analysis, including grammar learning, shallow learning and demonstration of the Chinese language teaching system of students, design the corresponding English teaching system, compare the teaching effect in teaching, and study the teaching system.