An automatic scoring method for Chinese-English spoken translation based on attention LSTM
Xiaobin Guo · ICST Transactions on Scalable Information Systems · 2018
In this paper, we propose an automatic scoring method for Chinese-English spoken translation based on attention LSTM. We select semantic keywords, sentence drift and spoken fluency as the main parameters of scoring. In order to improve the accuracy of keyword scoring, this paper uses synonym discr