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Yoshifumi Kawasaki

Yoshifumi Kawasaki has 2 papers in our library, in 2018–2026, most of them on Part-of-speech tagging, Multilingual & cross-lingual NLP, Grammatical error correction & learner language; often with Ryo Nagata, Daichi Mochihashi, Hiroya Takamura.

2 papers in our library · 2018–2026

OpenAlex · ORCID · h-index 4 · 13 works · 44 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9857

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 · Japan2017–2026 · 11 papersEmployment 2017–2022 · Lecturer, Department of Language and Information SciencesEmployment since 2022 · Associate Professor, Department of Language and Information Sciencescurrent🎓Sophia UniversityTokyo · Japan2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksEducation · 1 work

🧭 Topics 5Research subjects and languages the work is about.English · 1 workGrammatical error correction & learner language · 1 workPart-of-speech tagging · 1 workHistorical linguistics & language change · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20261 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A POS Tagging Model Designed for Learner English (2018 · 11 citations)
    Taggers trained on edited English fail on learner English, and the authors trace the failures to unknown words (often misspellings), to capitalisation errors, to missing determiners, and to a different tag distribution (the word "like" is a preposition in 82% of the native corpus but a verb in 94% of the Konan-JIEM…
  2. Cross-lingual and Word-Independent Methods for Quantifying Degree of Grammaticalization (2026)
    The paper addresses the automatic measurement of how far a word has moved from content-word status toward function-word status, a process called grammaticalization.

All works

3 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. A POS Tagging Model Designed for Learner EnglishRyo Nagata, Tomoya Mizumoto, Yuta Kikuchi, et al.English · 11 citations
  2. A Computational Approach to Quantifying Grammaticization of English Deverbal Prepositions ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetRyo Nagata et al.2024 · 1 citation
  3. Cross-lingual and Word-Independent Methods for Quantifying Degree of GrammaticalizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Ryo Nagata, Daichi Mochihashi, Misato Ido, et al.2026

 Co-authors here

7 co-authors with a page, the most papers together first.

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).

Updated

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