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Findings of the WMT 2022 Shared Task on Translation Suggestion

arXiv 2211.16717 ↗First posted 30 Nov 2022cs.CLcited by 0

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Abstract (arXiv)

We report the result of the first edition of the WMT shared task on Translation Suggestion (TS). The task aims to provide alternatives for specific words or phrases given the entire documents generated by machine translation (MT). It consists two sub-tasks, namely, the naive translation suggestion and translation suggestion with hints. The main difference is that some hints are provided in sub-task two, therefore, it is easier for the model to generate more accurate suggestions. For sub-task one, we provide the corpus for the language pairs English-German and English-Chinese. And only English-Chinese corpus is provided for the sub-task two. We received 92 submissions from 5 participating teams in sub-task one and 6 submissions for the sub-task 2, most of them covering all of the translation directions. We used the automatic metric BLEU for evaluating the performance of each submission.

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References · 17

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  12. 2020Lexically Constrained Neural Machine Translation with Levenshtein Transformercited by 45
5 more
  1. 2021Neural Machine Translation Quality and Post-Editing Performancecited by 12
  2. 2021IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestioncited by 11
  3. 2021WeTS: A Benchmark for Translation Suggestioncited by 8
  4. 2021GWLAN: General Word-Level AutocompletioN for Computer-Aided Translationcited by 7
  5. 2022Improved Data Augmentation for Translation Suggestioncited by 1

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