Construction of Chinese-English Bilingual Corpus Translation System Based on Intelligent Algorithms

The global popularity of Chinese is constantly increasing, and the demand for bilingual translation between Chinese and English is growing. However, there are currently many problems in translating bilingual corpora between Chinese and English. In order to improve translation efficiency and quality, this article proposed an intelligent algorithm based bilingual corpus translation system for Chinese and English. This study used Recurrent Neural Network (RNN) and attention mechanism as basic intelligent algorithms, and constructed a bilingual corpus translation system for Chinese and English. By training and optimizing large-scale Chinese and English corpora, the system can learn the contextual and semantic information of sentences and generate high-quality translation results. The experimental findings showed that the accuracy of the system in this paper was between 92%-98%. The intelligent algorithm based Chinese-English bilingual corpus translation system performed well in terms of translation accuracy, providing an efficient and accurate solution for the translation between Chinese and English bilinguals.