--- title: "Yo Ehara · Tokyo Gakugei University — author profile and papers" description: "Yo Ehara, Tokyo Gakugei University: 2 papers on Elamur Research (2021), h-index 8 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/yo-ehara/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yo-ehara/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yo Ehara # Yo Ehara Yo Ehara has 2 papers in our library, in 2021, most of them on [Grammatical error correction & learner language](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/), [English](https://md.research.elamur.ai/free/en/topics/english/). 2 papers in our library · 2021 [OpenAlex](https://openalex.org/A5007171156) · [ORCID](https://orcid.org/0000-0001-9314-4617) · [**h-index 8**](https://openalex.org/authors/A5007171156) · [60 works](https://openalex.org/works?filter=author.id:A5007171156) · [196 citations](https://openalex.org/works?filter=author.id:A5007171156&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yo-ehara/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #11030](https://md.research.elamur.ai/free/en/paper-stars/page/111/#star-11030) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yo+Ehara) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yo+Ehara) · [dblp](https://dblp.org/search?q=Yo+Ehara) · [ACL Anthology](https://aclanthology.org/search/?q=Yo+Ehara) ## Affiliations [🎓**Tokyo Gakugei University** Tokyo · Japan 2021–2026 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/tokyo-gakugei-university/) · [🎓**Shizuoka Institute of Science and Technology** Fukuroi · Japan 2019–2020 · 7 papers](https://ror.org/00vq1d511) · [🎓**The University of Tokyo** Tokyo · Japan 2008–2018 · 6 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🔬**National Institute of Advanced Industrial Science and Technology** Tsukuba · Japan 2016–2018 · 5 papers](https://md.research.elamur.ai/free/en/labs/national-institute-of-advanced-industrial-science-and-technology/) · [🔬**Artificial Intelligence Research Center** Tokyo · Japan 2018 · 2 papers](https://md.research.elamur.ai/free/en/labs/artificial-intelligence-research-center/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Developmental and Educational Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 2 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Grammatical error correction & learner language · 2 works](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) ## Works by year ### 2020s [**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/yo-ehara/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[To What Extent Does Lexical Normalization Help English-as-a-Second Language Learners to Read Noisy English Texts?](https://md.research.elamur.ai/free/en/papers/ehara-2021-what-extent-does-lexical-normalization/)** *(2021 · 2 citations)* The paper asks whether noisy social-media English is hard for ESL learners to read, and whether lexical normalization makes it easier. 2. **[To What Extent Can English-as-a-Second Language Learners Read Economic News Texts?](https://md.research.elamur.ai/free/en/papers/ehara-2021-what-extent-can-english-as/)** *(2021 · 1 citation)* Economic decisions often depend on reading English-language news quickly, yet non-native readers may face a language barrier. ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on Economics and Natural Language Processing](https://md.research.elamur.ai/free/en/venues/econlp/): [Workshop on Economics and Natural Language Processing 2021](https://md.research.elamur.ai/free/en/venues/econlp/2021/) - [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/): [Workshop on Noisy User-generated Text 2021](https://md.research.elamur.ai/free/en/venues/wnut/2021/) ## Cited by Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026