EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation (2022.acl-long)
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| Challenge: | Existing approaches to build multi-way aligned corpus from bilingual data are limited by their scale. |
| Approach: | They propose to build a multi-way aligned corpus from bilingual data using two steps to extract candidate alignes and generate the final alignets from the candidates. |
| Outcome: | The proposed method improves on two publicly available datasets with +1.1 and +1.4 BLEU points. |
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