Tosho Hirasawa

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 23

Top Topics

Target Language

Machine Translation

Brazilian Portuguese

Top Venues

WAT@AAC/IJCNLPL

NAACL-HLT (Student Research Workshop)

Publications

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) (2023)
Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka, Mamoru Komachi
Simultaneous Domain Adaptation of Tokenization and Machine Translation. PACLIC (2023)
Tosho Hirasawa, Emanuele Bugliarello, Desmond Elliott, Mamoru Komachi
Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation. WMT (2023)
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)
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 (2022)
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 (2022)
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)
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 (2022)
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)
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)
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)
Hwichan Kim, Tosho Hirasawa, Mamoru Komachi
Korean-to-Japanese Neural Machine Translation System using Hanja Information. WAT@AAC/IJCNLPL (2020)
Zizheng Zhang, Tosho Hirasawa, Wei Houjing, Masahiro Kaneko, Mamoru Komachi
Translation of New Named Entities from English to Chinese. WAT@AAC/IJCNLPL (2020)
Tosho Hirasawa, Zhishen Yang, Mamoru Komachi, Naoaki Okazaki
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020. CoRR (2020)
Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi
Towards Multimodal Simultaneous Neural Machine Translation. CoRR (2020)
Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi
Towards Multimodal Simultaneous Neural Machine Translation. WMT@EMNLP (2020)
Hwichan Kim, Tosho Hirasawa, Mamoru Komachi
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition. ACL (student) (2020)
Hiroto Tamura, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi
TMU Japanese-English Multimodal Machine Translation System for WAT 2020. WAT@AAC/IJCNLPL (2020)
Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. NGT@ACL (2020)
Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi
Multimodal Machine Translation with Embedding Prediction. NAACL-HLT (Student Research Workshop) (2019)
Tosho Hirasawa, Mamoru Komachi
Debiasing Word Embeddings Improves Multimodal Machine Translation. CoRR (2019)
Tosho Hirasawa, Mamoru Komachi
Debiasing Word Embeddings Improves Multimodal Machine Translation. MTSummit (1) (2019)
Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi
Multimodal Machine Translation with Embedding Prediction. CoRR (2019)