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• W3186452012 abstract "This paper describes our system (Team ID: nictrb) for participating in the WAT’21 restricted machine translation task. In our submitted system, we designed a new training approach for restricted machine translation. By sampling from the translation target, we can solve the problem that ordinary training data does not have a restricted vocabulary. With the further help of constrained decoding in the inference phase, we achieved better results than the baseline, confirming the effectiveness of our solution. In addition, we also tried the vanilla and sparse Transformer as the backbone network of the model, as well as model ensembling, which further improved the final translation performance." @default.
• W3186452012 created "2021-08-02" @default.
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• W3186452012 date "2021-01-01" @default.
• W3186452012 modified "2023-09-23" @default.
• W3186452012 title "NICT’s Neural Machine Translation Systems for the WAT21 Restricted Translation Task" @default.
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• W3186452012 doi "https://doi.org/10.18653/v1/2021.wat-1.4" @default.
• W3186452012 hasPublicationYear "2021" @default.
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