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Unsupervised neural machine translation(NMT) is associated with noise and errors in synthetic data when executing vanilla back-translations. Here, we explicitly exploits language model(LM) to drive construction of an unsupervised NMT system. This fea
Externí odkaz:
http://arxiv.org/abs/1911.03937
Autor:
Chen, Wenting, Song, Guoqiang, Lin, Youyuan, Qiao, Jintao, Wu, Tonghua, Yi, Xingyuan, Kawi, Sibudjing
Publikováno v:
In Catalysis Today 1 August 2022 397-399:407-418
Autor:
Chen, Wenting, Song, Guoqiang, Lin, Youyuan, Qiao, Jintao, Wu, Tonghua, Yi, Xingyuan, Kawi, Sibudjing
Publikováno v:
In Microporous and Mesoporous Materials October 2021 326