Research on Acquisition and Translation Methods of English and Chinese Database Based on Big Data

In order to expand the means of translation research by large-scale corpora, this paper proposes a scheme of English and Chinese corpus acquisition and translation under Hadoop platform by analysis on corpora and big data. Firstly, the construction process of Chinese-English translation corpus is provided from the perspective of big data. Then, combined with the demand analysis, the specific design and implementation methods of the key modules in the system, such as corpus preprocessing, crawler running configuration, sentence pair evaluation and database connection, are also put forward. Based on the analysis of the meaning characteristics of Chinese historical and cultural terms, the system tests the online translation functions of various mainstream translation websites. The results show that the quality of corpus data has been effectively improved, and the translation accuracy is better than that of similar algorithms.