Research on quality estimation of Chinese-English translation based on machine learning
Yonggong Han, Chuangang Zhao · 2023
With the deepening of international communication, the demand for translation software is also increasing. Traditional intelligent translation equipment still suffers from poor translation quality and incoherent words. To solve relevant problems. this paper, by using machine learning method, adds contextual word vectors into the original translation process, extracts and analyzes contextual words in input speech, automatically correlates relevant words, and conducts quality estimation of translation. It is helpful to improve the automatic calibration of Chinese-English translation and improve the accuracy of intelligent speech translation.