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Kyle Gorman

Kyle Gorman has 2 papers in our library, in 2019–2020, most of them on Morphology, Language models & pretraining; often with Sabrina J. Mielke, Arya D. McCarthy, Brian Roark.

2 papers in our library · 2019–2020

OpenAlex · ORCID · Wikidata · h-index 19 · 67 works · 1,313 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 161 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4411

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 Graduate Center, CUNYNew York · United States2017–2026 · 27 paperscurrent🏢GoogleMountain View · United States2015–2026 · 14 papersEmployment since 2015current🎓City University of New YorkNew York · United States2019–2025 · 27 papers🎓Oregon Health & Science UniversityPortland · United States2013–2017 · 9 papersEmployment 2014–2015🎓University of PennsylvaniaPhiladelphia · United States2006–2013 · 5 papersEducation 2006–2013🎓University of Illinois Urbana-ChampaignUrbana · United States2003–2006Education 2003–2006

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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Morphology · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20201 paperUniMorph 3.0: Universal Morphology

2010s

20191 paperWhat Kind of Language Is Hard to Language-Model?

 Papers

The most cited first (OpenAlex and our library).

  1. What Kind of Language Is Hard to Language-Model? (2019 · 131 citations)
    The paper tests whether current language-modeling methods work equally well across languages. It revisits the authors' earlier claim (Cotterell et al., 2018) that rich inflectional morphology makes languages harder to model. That study used the fully parallel Europarl corpus, which covers few languages, most of them…
  2. UniMorph 3.0: Universal Morphology (2020 · 122 citations)
    UniMorph provides inflectional paradigms for many languages. Each entry is a triple of lemma, feature bundle and inflected form, tagged with one cross-lingual feature schema. Release 3.0 responds to community criticism of version 2.0. An audit by Gorman et al. (2019) found that many sampled entries were mis-scraped…

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. What Kind of Language Is Hard to Language-Model?Annual Meeting of the Association for Computational Linguistics (ACL)Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman, et al.2019 · 131 citations
  2. UniMorph 3.0: Universal MorphologyLanguage Resources and Evaluation Conference (LREC)Arya D. McCarthy, Christo Kirov, Matteo Grella, et al.2020 · 122 citations
  3. Neural Models of Text Normalization for Speech ApplicationsComputational Linguistics · original ↗ · no summary yetHao Zhang et al.2019 · 114 citations

 Co-authors here

10 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 161 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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