Debiasing Word Embeddings Improves Multimodal Machine Translation. - Tosho Hirasawa; Mamoru Komachi (MTSummit (1), 2019)

Multimodal Machine Translation with Embedding Prediction. - Tosho Hirasawa; Hayahide Yamagishi; Yukio Matsumura; Mamoru Komachi (NAACL-HLT (Student Research Workshop), 2019)

Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition. - Hwichan Kim; Tosho Hirasawa; Mamoru Komachi (ACL (student), 2020)

English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. - Masahiro Kaneko; Aizhan Imankulova; Tosho Hirasawa; Mamoru Komachi (NGT@ACL, 2020)

Korean-to-Japanese Neural Machine Translation System using Hanja Information. - Hwichan Kim; Tosho Hirasawa; Mamoru Komachi (WAT@AAC/IJCNLPL, 2020)

TMU Japanese-English Multimodal Machine Translation System for WAT 2020. - Hiroto Tamura; Tosho Hirasawa; Masahiro Kaneko; Mamoru Komachi (WAT@AAC/IJCNLPL, 2020)

Translation of New Named Entities from English to Chinese. - Zizheng Zhang; Tosho Hirasawa; Wei Houjing; Masahiro Kaneko; Mamoru Komachi (WAT@AAC/IJCNLPL, 2020)

Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings. - Masashi Takaku; Tosho Hirasawa; Mamoru Komachi; Kanako Komiya (PACLIC, 2020)

Towards Multimodal Simultaneous Neural Machine Translation. - Aizhan Imankulova; Masahiro Kaneko; Tosho Hirasawa; Mamoru Komachi (WMT@EMNLP, 2020)

Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020. - Tosho Hirasawa; Zhishen Yang; Mamoru Komachi; Naoaki Okazaki (CoRR, 2020)

Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model. - Seiichiro Kondo; Aomi Koyama; Tomoshige Kiyuna; Tosho Hirasawa; Mamoru Komachi (WAT@ACL/IJCNLP, 2021)

Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation. - Seiichiro Kondo; Kengo Hotate; Tosho Hirasawa; Masahiro Kaneko; Mamoru Komachi (NAACL-HLT (Student Research Workshop), 2021)

Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. - Daisuke Suzuki; Yujin Takahashi; Ikumi Yamashita; Taichi Aida; Tosho Hirasawa; Michitaka Nakatsuji; Masato Mita; Mamoru Komachi (LREC, 2022)

Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K. - Tosho Hirasawa; Masahiro Kaneko; Aizhan Imankulova; Mamoru Komachi (IEEE Access, 2022)

Why Videos Do Not Guide Translations in Video-guided Machine Translation? An Empirical Evaluation of Video-guided Machine Translation Dataset. - Zhishen Yang; Tosho Hirasawa; Mamoru Komachi; Naoaki Okazaki (J. Inf. Process., 2022)

Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? - Hiroto Tamura; Tosho Hirasawa; Hwichan Kim; Mamoru Komachi (EACL (Findings), 2023)

Simultaneous Domain Adaptation of Tokenization and Machine Translation. - Taisei Enomoto; Tosho Hirasawa; Hwichan Kim; Teruaki Oka; Mamoru Komachi (PACLIC, 2023)

Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation. - Tosho Hirasawa; Emanuele Bugliarello; Desmond Elliott; Mamoru Komachi (WMT, 2023)

North Korean Neural Machine Translation through South Korean Resources. - Hwichan Kim; Tosho Hirasawa; Sangwhan Moon; Naoaki Okazaki; Mamoru Komachi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification? - Taisei Enomoto; Hwichan Kim; Tosho Hirasawa; Yoshinari Nagai; Ayako Sato; Kyotaro Nakajima; Mamoru Komachi (BEA, 2024)

COM Kitchens: An Unedited Overhead-View Video Dataset as a Vision-Language Benchmark. - Koki Maeda; Tosho Hirasawa; Atsushi Hashimoto 001; Jun Harashima; Leszek Rybicki; Yusuke Fukasawa; Yoshitaka Ushiku (ECCV (65), 2024)

Pruning Multilingual Large Language Models for Multilingual Inference. - Hwichan Kim; Jun Suzuki 001; Tosho Hirasawa; Mamoru Komachi (EMNLP (Findings), 2024)

SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images. - Risa Shinoda; Kuniaki Saito; Shohei Tanaka; Tosho Hirasawa; Yoshitaka Ushiku (CoRR, 2024)

MK2 at PBIG Competition: A Prompt Generation Solution. - Yuzheng Xu; Tosho Hirasawa; Seiya Kawano; Shota Kato; Tadashi Kozuno (CoRR, 2025)