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Why Videos Do Not Guide Translations in Video-guided Machine Translation? An Empirical Evaluation of Video-guided Machine Translation Dataset.

, , , and . J. Inf. Process., (2022)

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Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings., , , and . PACLIC, page 534-541. Association for Computational Linguistics, (2020)Simultaneous Domain Adaptation of Tokenization and Machine Translation., , , , and . PACLIC, page 36-45. Association for Computational Linguistics, (2023)Why Videos Do Not Guide Translations in Video-guided Machine Translation? An Empirical Evaluation of Video-guided Machine Translation Dataset., , , and . J. Inf. Process., (2022)Towards Multimodal Simultaneous Neural Machine Translation., , , and . WMT@EMNLP, page 594-603. Association for Computational Linguistics, (2020)Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation., , , and . WMT, page 522-535. Association for Computational Linguistics, (2023)English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs., , , and . NGT@ACL, page 134-138. Association for Computational Linguistics, (2020)Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction., , , , , , , and . LREC, page 5565-5572. European Language Resources Association, (2022)Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model., , , , and . WAT@ACL/IJCNLP, page 68-73. Association for Computational Linguistics, (2021)Translation of New Named Entities from English to Chinese., , , , and . WAT@AAC/IJCNLPL, page 58-63. Association for Computational Linguistics, (2020)North Korean Neural Machine Translation through South Korean Resources., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (9): 223:1-223:22 (September 2023)