English and Chinese Corpus Collection and Intelligent Semantic Recognition System Based on Big Data

With the help of the part-of-speech tagging in the “Modern Chinese Dictionary” published in 2005 and the “Concise Oxford English Dictionary” published in 2011, the conversion words in English and Chinese vocabulary are compared and found that there are 30 conversion words in Chinese and English respectively. Species and 66 types. This article attempts to introduce the semantic analysis of the English-Chinese parallel corpus into the semantic recognition system. By labeling different levels of the corpus, including grammatical labeling, shallow semantic labeling and deep semantic labeling, the corresponding English-Chinese translation teaching system is designed, and the guiding system is improved by using comparatively systematic data modelling. Compared with the methods without the integration of data mining, the proposed model is more accurate.