Zijian Li1, Chengying Chi1, *, Yunyun Zhan2, *
CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 637-650, 2020, DOI:10.32604/cmc.2020.010265
Abstract The translation quality of neural machine translation (NMT) systems depends
largely on the quality of large-scale bilingual parallel corpora available. Research shows
that under the condition of limited resources, the performance of NMT is greatly reduced,
and a large amount of high-quality bilingual parallel data is needed to train a competitive
translation model. However, not all languages have large-scale and high-quality bilingual
corpus resources available. In these cases, improving the quality of the corpora has
become the main focus to increase the accuracy of the NMT results. This paper proposes
a new method to improve the quality of data by… More >
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