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Computer Science > Computation and Language
Title: WeChat Neural Machine Translation Systems for WMT20
(Submitted on 1 Oct 2020 (v1), last revised 5 Oct 2020 (this version, v2))
Abstract: We participate in the WMT 2020 shared news translation task on Chinese to English. Our system is based on the Transformer (Vaswani et al., 2017a) with effective variants and the DTMT (Meng and Zhang, 2019) architecture. In our experiments, we employ data selection, several synthetic data generation approaches (i.e., back-translation, knowledge distillation, and iterative in-domain knowledge transfer), advanced finetuning approaches and self-bleu based model ensemble. Our constrained Chinese to English system achieves 36.9 case-sensitive BLEU score, which is the highest among all submissions.
Submission history
From: Fandong Meng [view email][v1] Thu, 1 Oct 2020 08:15:09 GMT (1040kb,D)
[v2] Mon, 5 Oct 2020 16:01:01 GMT (70kb,D)
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