Who cites Kiyotaka Uchimoto
- An Empirical Comparison of Domain Adaptation Methods for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Chenhui Chu, Raj Dabre, Sadao Kurohashi2017 · 317 citations
- Incorporating Discrete Translation Lexicons into Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Philip Arthur, Graham Neubig, Satoshi Nakamura2016 · 302 citations
- MADLAD-400: A Multilingual And Document-Level Large Audited DatasetConference on Neural Information Processing Systems (NeurIPS)Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 213 citations
- compare-mt: A Tool for Holistic Comparison of Language Generation SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Graham Neubig, Zi-Yi Dou, Junjie Hu, et al.2019 · 188 citations
- Effective Domain Mixing for Neural Machine TranslationConference on Machine Translation (WMT)Denny Britz, Quoc Le, Reid Pryzant2017 · 156 citations
- Blast: A Tool for Error Analysis of Machine Translation OutputSara Stymne2011 · 81 citations
- Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MTComputational LinguisticsKathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.2012 · 77 citations
- Handling Syntactic Divergence in Low-resource Machine TranslationChunting Zhou, Xuezhe Ma, Junjie Hu, et al.2019 · 33 citations
- Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of Biomedical AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Xin Zhao, Naoki Yoshinaga, Yuma Tsuta, et al.2026 · 1 citation
- Probabilistic Bilingual Subword Segmentation with Latent Subword AlignmentConference of the European Chapter of the Association for Computational Linguistics (EACL)Shoto Nishida, Daiki Matsui, Takashi Ninomiya, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/authors/kiyotaka-uchimoto/cited-by/