Key Technologies of Constructing Parallel Corpus for Chinese-English Intertranslation Based on Web

With the development of network technology, natural language technology has also flourished, and translation methods based on large-scale corpora have developed rapidly. Bilingual corpora has become an indispensable and important resource for research on machine translation, machine-assisted translation and translation knowledge acquisition. This paper constructs a parallel corpus of Chinese-English translation based on Web, obtains corpus from massive Web resources, and improves the level of Chinese-English translation. The corpus acquisition based on web crawler technology studied in this paper creates conditions for acquiring large-scale Chinese-English translation corpus. Sentence alignment based on Attention-BiLSTM technology can give full play to the role of machine learning. The index construction based on Lucence technology is suitable for fulltext retrieval of document sets, and solves the application problem of massive corpus.