124 citations · 136 across the 8 of their papers we have counts for
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cs.CL2020★ 6 cited
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
Wenxiang Jiao, Xing Wang, Shilin He +3
Large-scale training datasets lie at the core of the recent success of neural machine translation (NMT) models. However, the complex patterns and potential noises in the large-scal…
cs.CL2020★ 2 cited
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
Shilin He, Xing Wang, Shuming Shi +2
Machine translation (MT) systems translate text between different languages by automatically learning in-depth knowledge of bilingual lexicons, grammar and semantics from the train…
cs.CL2019
Towards Understanding Neural Machine Translation with Word Importance
Shilin He, Zhaopeng Tu, Xing Wang +3
Although neural machine translation (NMT) has advanced the state-of-the-art on various language pairs, the interpretability of NMT remains unsatisfactory. In this work, we propose…