Big-Data Based English-Chinese Corpus Collection and Mining and Machine Translation Framework

Abstract

This paper adopts web big data mining method to collect and mine the English and Chinese corpus, and designs an English-Chinese machine translation framework. First, create an English-Chinese parallel corpus based on big data, and use data mining to collect and mine the English-Chinese corpus. Then, based on the web big data method, a real-time English-Chinese machine translation framework was designed to realize vocabulary alignment, phrase alignment and syntactic knot alignment. Finally, the validity of the translation framework is verified through experimental data.