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Kyo Kageura

Kyo Kageura has 2 papers in our library, in 2007–2026, most of them on Machine translation, Idioms & multiword expressions, English.

2 papers in our library · 2007–2026

OpenAlex · ORCID · h-index 19 · 240 works · 1,779 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #11296

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓The University of TokyoTokyo · Japan1998–2026 · 89 paperscurrent🔬National Institute of InformaticsTokyo · Japan2000–2016 · 44 papers🎓Nagoya UniversityNagoya · Japan2022 · 3 papers🎓Nanyang Technological UniversitySingapore · Singapore2017–2021 · 3 papers🎓Toyo UniversityTokyo · Japan1996–2017 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksDevelopmental and Educational Psychology · 1 workPsychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Machine translation · 2 worksEnglish · 1 workIdioms & multiword expressions · 1 work

 Works by year

2020s

20261 paper

2000s

20071 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Flexible automatic look-up of English idiom entries in dictionaries (2007 · 9 citations)
    The paper addresses a practical gap in translation aids. Good dictionaries already list the idioms translators need, but neither paper dictionaries, electronic dictionaries nor MT systems reliably find an entry when the idiom appears in a modified form, for example with inserted adjectives. The authors interviewed…
  2. Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation (2026)
    Context is widely seen as essential for good translation, but MT research usually treats it narrowly as surrounding text.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Flexible automatic look-up of English idiom entries in dictionariesMachine Translation Summit (MT Summit)Koichi Takeuchi, Takashi Kanehila, Kazuki Hilao, et al.2007 · 9 citations
  2. Deverbal Compound Noun Analysis Based on Lexical Conceptual Structure ↗The Companion Volume to the Proceedings of 41st Annual Meeting of the Association for Computational Linguistics · no summary yetKoichi Takeuchi, Kyo Kageura, Teruo Koyama2003 · 5 citations
  3. Context-8: A Data Set for Evaluating Context Sensitivity in Machine TranslationLanguage Resources and Evaluation Conference (LREC)Dongyue Wang, Kyo Kageura2026
  4. CoTERM: A Consistency-Oriented Term Metric for MT System Evaluation ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetAmir Hazem, Kyo Kageura2026
  5. Entropic characterisation of termino-conceptual structure : A preliminary study ↗Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Terminologie et Intelligence Artificielle (atelier TALN-RECITAL & IC) · no summary yetKyo Kageura, Long-Huei Chen2019

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read).

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