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Research on English Vocabulary Translation Technology Based on Dynamic Bilingual Corpus

The goal of this study is to use modern Internet technology to collect dynamic English-language contrastive corpora in a large-scale information database, build a bilingual dynamic corpus in Chinese and English, and use bilingual translation memory to complete bilingual assistance based on computer-assisted translation Construction of translation search engine system. The main content of this article mainly includes the design of constructing the corpus and the implementation of the translation search engine system. In terms of building a dynamic corpus, according to the general process of Web content mining, the paper first uses web spiders to search and collect raw data in the Internet's massive information database, and then preprocesses and rearranges them. After purification and identification, the Two-page bilingual texts and two-page bilingual texts are used for word segmentation matching and web page structure matching, respectively. Chinese-English bilingual translation corpora are extracted and stored in the database. The deployment of the auxiliary translation search engine system is based on the construction of a dynamic corpus. The indexing tool is used to index the corpus, and manual review and user feedback modules are added to provide users with Chinese-English bilingual auxiliary translation services.