Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models. - Satoru Katsumata; Yukio Matsumura; Hayahide Yamagishi; Mamoru Komachi (ACL (3), 2018)

TMU Japanese-English Neural Machine Translation System using Generative Adversarial Network for WAT 2018. - Yukio Matsumura; Satoru Katsumata; Mamoru Komachi (WAT@PACLIC, 2018)

Controlling Grammatical Error Correction Using Word Edit Rate. - Kengo Hotate; Masahiro Kaneko; Satoru Katsumata; Mamoru Komachi (ACL (2), 2019)

TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track. - Masahiro Kaneko; Kengo Hotate; Satoru Katsumata; Mamoru Komachi (BEA@ACL, 2019)

(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus. - Satoru Katsumata; Mamoru Komachi (BEA@ACL, 2019)

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus. - Satoru Katsumata; Mamoru Komachi (CoRR, 2019)

Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner's Error Tendency. - Yujin Takahashi; Satoru Katsumata; Mamoru Komachi (ACL (student), 2020)

Cross-lingual Transfer Learning for Grammatical Error Correction. - Ikumi Yamashita; Satoru Katsumata; Masahiro Kaneko; Aizhan Imankulova; Mamoru Komachi (COLING, 2020)

Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model. - Satoru Katsumata; Mamoru Komachi (AACL/IJCNLP, 2020)

Chinese Grammatical Correction Using BERT-based Pre-trained Model. - Hongfei Wang; Michiki Kurosawa; Satoru Katsumata; Mamoru Komachi (AACL/IJCNLP, 2020)

Automated Essay Scoring System for Nonnative Japanese Learners. - Reo Hirao; Mio Arai; Hiroki Shimanaka; Satoru Katsumata; Mamoru Komachi (LREC, 2020)

Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data. - Hongfei Wang; Michiki Kurosawa; Satoru Katsumata; Masato Mita; Mamoru Komachi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. - Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng 002; Hiroyuki Deguchi 002; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; et al. (CoRR, 2024)

JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLM. - Takuro Fujii; Satoru Katsumata (CoRR, 2024)

AnswerCarefully: A Dataset for Improving the Safety of Japanese LLM Output. - Hisami Suzuki; Satoru Katsumata; Takashi Kodama; Tetsuro Takahashi; Kouta Nakayama; Satoshi Sekine (CoRR, 2025)