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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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Multi-paraphrase Augmentation to Leverage Neural Caption Translation., , , and . IWSLT, page 181-188. International Conference on Spoken Language Translation, (2018)Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian., and . LoResMT@COLING, page 84-92. Association for Computational Linguistics, (2022)From Speech Chain to Multimodal Chain: Leveraging Cross-modal Data Augmentation for Semi-supervised Learning., , , and . CoRR, (2019)Augmenting Images for ASR and TTS Through Single-Loop and Dual-Loop Multimodal Chain Framework., , , and . INTERSPEECH, page 4901-4905. ISCA, (2020)Listening While Speaking and Visualizing: Improving ASR Through Multimodal Chain., , , and . ASRU, page 471-478. IEEE, (2019)End-to-End Image-to-Speech Generation for Untranscribed Unknown Languages., , and . IEEE Access, (2021)Duration Modeling of Neural TTS for Automatic Dubbing., , , and . ICASSP, page 8037-8041. IEEE, (2022)Corpus Construction and Semantic Analysis of Indonesian Image Description., , , , and . SLTU, page 42-46. ISCA, (2018)RakutenAI-7B: Extending Large Language Models for Japanese., , , , , , , , , and 19 other author(s). CoRR, (2024)Creation of a multi-paraphrase corpus based on various elementary operations., , and . O-COCOSDA, page 1-6. IEEE, (2017)