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Rakuten's Participation in WAT 2022: Parallel Dataset Filtering by Leveraging Vocabulary Heterogeneity.

, , , , , and . WAT@COLING, page 68-72. International Conference on Computational Linguistics, (2022)

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Rakuten's Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation., , , , and . WAT@ACL/IJCNLP, page 96-105. Association for Computational Linguistics, (2021)Goku's Participation in WAT 2020., and . WAT@AAC/IJCNLPL, page 135-141. Association for Computational Linguistics, (2020)The NICT translation system for IWSLT 2012., , and . IWSLT, page 121-125. ISCA, (2012)Rakuten's Participation in WAT 2022: Parallel Dataset Filtering by Leveraging Vocabulary Heterogeneity., , , , , and . WAT@COLING, page 68-72. International Conference on Computational Linguistics, (2022)Sakura at SemEval-2023 Task 2: Data Augmentation via Translation., , and . SemEval@ACL, page 1718-1722. Association for Computational Linguistics, (2023)Sarah's Participation in WAT 2019., , and . WAT@EMNLP-IJCNLP, page 152-158. Association for Computational Linguistics, (2019)