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ORCIDTosho Hirasawa
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2020 – today
- 2024
[c18]Taisei Enomoto, Hwichan Kim, Tosho Hirasawa, Yoshinari Nagai, Ayako Sato, Kyotaro Nakajima, Mamoru Komachi:
TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification? BEA 2024: 590-598- [c17]Koki Maeda
, Tosho Hirasawa, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, Yoshitaka Ushiku:
COM Kitchens: An Unedited Overhead-View Video Dataset as a Vision-Language Benchmark. ECCV (65) 2024: 123-140 - [c16]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. EMNLP (Findings) 2024: 9921-9942 - [i7]Koki Maeda, Tosho Hirasawa, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, Yoshitaka Ushiku:
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark. CoRR abs/2408.02272 (2024) - [i6]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. CoRR abs/2409.16911 (2024) - 2023
- [j3]Hwichan Kim, Tosho Hirasawa, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
North Korean Neural Machine Translation through South Korean Resources. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 223:1-223:22 (2023) - [c15]Hiroto Tamura, Tosho Hirasawa, Hwichan Kim, Mamoru Komachi:
Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? EACL (Findings) 2023: 2171-2180 - [c14]Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka, Mamoru Komachi:
Simultaneous Domain Adaptation of Tokenization and Machine Translation. PACLIC 2023: 36-45 - [c13]Tosho Hirasawa, Emanuele Bugliarello, Desmond Elliott, Mamoru Komachi:
Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation. WMT 2023: 522-535 - 2022
- [j2]Tosho Hirasawa, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi:
Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K. IEEE Access 10: 67653-67668 (2022) - [j1]Zhishen Yang, Tosho Hirasawa, Mamoru Komachi, Naoaki Okazaki:
Why Videos Do Not Guide Translations in Video-guided Machine Translation? An Empirical Evaluation of Video-guided Machine Translation Dataset. J. Inf. Process. 30: 388-396 (2022) - [c12]Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi:
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. LREC 2022: 5565-5572 - [i5]Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi:
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. CoRR abs/2201.08038 (2022) - 2021
- [c11]Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi:
Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model. WAT@ACL/IJCNLP 2021: 68-73 - [c10]Seiichiro Kondo, Kengo Hotate, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi:
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation. NAACL-HLT (Student Research Workshop) 2021: 143-149 - 2020
- [c9]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition. ACL (student) 2020: 72-78 - [c8]Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi:
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. NGT@ACL 2020: 134-138 - [c7]Zizheng Zhang, Tosho Hirasawa, Wei Houjing, Masahiro Kaneko, Mamoru Komachi:
Translation of New Named Entities from English to Chinese. WAT@AAC/IJCNLPL 2020: 58-63 - [c6]Hiroto Tamura, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi:
TMU Japanese-English Multimodal Machine Translation System for WAT 2020. WAT@AAC/IJCNLPL 2020: 80-91 - [c5]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Korean-to-Japanese Neural Machine Translation System using Hanja Information. WAT@AAC/IJCNLPL 2020: 127-134 - [c4]Masashi Takaku, Tosho Hirasawa, Mamoru Komachi, Kanako Komiya:
Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings. PACLIC 2020: 534-541 - [c3]Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi:
Towards Multimodal Simultaneous Neural Machine Translation. WMT@EMNLP 2020: 594-603 - [i4]Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi:
Towards Multimodal Simultaneous Neural Machine Translation. CoRR abs/2004.03180 (2020) - [i3]Tosho Hirasawa, Zhishen Yang, Mamoru Komachi, Naoaki Okazaki:
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020. CoRR abs/2006.12799 (2020)
2010 – 2019
- 2019
- [c2]Tosho Hirasawa, Mamoru Komachi:
Debiasing Word Embeddings Improves Multimodal Machine Translation. MTSummit (1) 2019: 32-42 - [c1]Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi:
Multimodal Machine Translation with Embedding Prediction. NAACL-HLT (Student Research Workshop) 2019: 86-91 - [i2]Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi:
Multimodal Machine Translation with Embedding Prediction. CoRR abs/1904.00639 (2019) - [i1]Tosho Hirasawa, Mamoru Komachi:
Debiasing Word Embeddings Improves Multimodal Machine Translation. CoRR abs/1905.10464 (2019)
Coauthor Index
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