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Transn’s Submissions to the WMT22 Translation Suggestion Task

Article scientifique 2022 Autre

Résumé

This paper describes the Transn's submissions to the WMT2022 shared task on Translation Suggestion.Our team participated on two tasks: Naive Translation Suggestion and Translation Suggestion with Hints, focusing on two language directions Zh→En and En→Zh.Apart from the golden training data provided by the shared task, we utilized synthetic corpus to fine-tune on DeltaLM (∆LM), which is a pretrained encoder-decoder language model.We applied two-stage training strategy on ∆LM and several effective methods to generate synthetic corpus, which contribute a lot to the results.According to the official evaluation results in terms of BLEU scores, our submissions in Naive Translation Suggestion En→Zh and Translation Suggestion with Hints (both Zh→En and En→Zh) ranked 1st, and Naive Translation Suggestion Zh→En also achieved comparable result to the best score.

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Hongbao, M., Wenbo, Z., Jie, C., Jianwei, C. (2022). Transn’s Submissions to the WMT22 Translation Suggestion Task. https://doi.org/10.18653/v1/2022.wmt-1.124

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Auteur(s)

Mao Hongbao Zhang Wenbo Cai Jie Cheng Jianwei

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