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.
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