--- title: "Sabrina J. Mielke — author profile and papers · Morphology" description: "Sabrina J. Mielke: 5 papers on Elamur Research (2018–2021), h-index 14 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/sabrina-j-mielke/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sabrina-j-mielke/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sabrina J. Mielke # Sabrina J. Mielke Sabrina J. Mielke has 5 papers in our library, in 2018–2021, most of them on [Morphology](https://md.research.elamur.ai/free/en/topics/morphology/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Ryan Cotterell](https://md.research.elamur.ai/free/en/authors/ryan-cotterell/), [Brian Roark](https://md.research.elamur.ai/free/en/authors/brian-roark/), [Jason Eisner](https://md.research.elamur.ai/free/en/authors/jason-eisner/). 5 papers in our library · 2018–2021 [OpenAlex](https://openalex.org/A5013226378) · [**h-index 14**](https://openalex.org/authors/A5013226378) · [23 works](https://openalex.org/works?filter=author.id:A5013226378) · [1,674 citations](https://openalex.org/works?filter=author.id:A5013226378&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/sabrina-j-mielke/#papers) · [🔗 Cited 446 times in our library](https://md.research.elamur.ai/free/en/authors/sabrina-j-mielke/cited-by/) · [⭐ Paper Stars ranking: #2274](https://md.research.elamur.ai/free/en/paper-stars/page/23/#star-2274) 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=Sabrina+J.+Mielke) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sabrina+J.+Mielke) · [dblp](https://dblp.org/search?q=Sabrina+J.+Mielke) · [ACL Anthology](https://aclanthology.org/search/?q=Sabrina+J.+Mielke) ## Affiliations [🎓**Johns Hopkins University** Baltimore · United States 2018–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Saarland University** Saarbrücken · Germany 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/saarland-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Gender Studies · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/gender-studies/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 4 Research subjects and languages the work is about.[Morphology · 3 works](https://md.research.elamur.ai/free/en/topics/morphology/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Subword tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/subword-tokenization/) ## Works by year ### 2020s [**2021** 1 paper Sabrina J. Mielke's papers of 2021](https://md.research.elamur.ai/free/en/papers/mielke-2021-between-words-characters-brief-history/) · [**2020** 1 paper Sabrina J. Mielke's papers of 2020](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-unimorph-3-0-universal-morphology/) ### 2010s [**2019** 2 papers Sabrina J. Mielke's papers of 2019](https://md.research.elamur.ai/free/en/authors/sabrina-j-mielke/year/2019/) · [**2018** 1 paper Sabrina J. Mielke's papers of 2018](https://md.research.elamur.ai/free/en/papers/cotterell-2018-are-all-languages-equally-hard/) ## Papers The most cited first (OpenAlex and our library). 1. **[Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology](https://md.research.elamur.ai/free/en/papers/zmigrod-2019-counterfactual-data-augmentation-mitigating-gender/)** *(2019 · 372 citations)* Counterfactual data augmentation (CDA) reduces gender bias by adding copies of sentences with the gender flipped. 2. **[Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP](https://md.research.elamur.ai/free/en/papers/mielke-2021-between-words-characters-brief-history/)** *(2021 · 190 citations)* This is a survey paper by the BigScience Workshop tokenization working group. The authors examine which units of text NLP models should operate on: words, subwords, characters, bytes, or even pixels. The paper offers no new data and no method of its own. Instead, it connects research from the pre-neural and neural… 3. **[Are All Languages Equally Hard to Language-Model?](https://md.research.elamur.ai/free/en/papers/cotterell-2018-are-all-languages-equally-hard/)** *(2018 · 147 citations)* Multilingual NLP often assumes one modeling technique works equally well for every language. Comparing language models across languages is hard, though, because corpus sizes, topics, spelling conventions and OOV handling all differ. 4. **[What Kind of Language Is Hard to Language-Model?](https://md.research.elamur.ai/free/en/papers/mielke-2019-what-kind-language-is-hard/)** *(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… 5. **[UniMorph 3.0: Universal Morphology](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-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… ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Ryan Cotterell](https://md.research.elamur.ai/free/en/authors/ryan-cotterell/) ×3 - [Brian Roark](https://md.research.elamur.ai/free/en/authors/brian-roark/) ×2 - [Jason Eisner](https://md.research.elamur.ai/free/en/authors/jason-eisner/) ×2 - [Kyle Gorman](https://md.research.elamur.ai/free/en/authors/kyle-gorman/) ×2 - [Arun Raja](https://md.research.elamur.ai/free/en/authors/arun-raja/) - [Arya D. McCarthy](https://md.research.elamur.ai/free/en/authors/arya-d-mccarthy/) - [Benoît Sagot](https://md.research.elamur.ai/free/en/authors/benoit-sagot/) - [Chenglei Si](https://md.research.elamur.ai/free/en/authors/chenglei-si/) - [Christo Kirov](https://md.research.elamur.ai/free/en/authors/christo-kirov/) - [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) - [Ekaterina Vylomova](https://md.research.elamur.ai/free/en/authors/ekaterina-vylomova/) - [Elizabeth Salesky](https://md.research.elamur.ai/free/en/authors/elizabeth-salesky/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) ×2 - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2020](https://md.research.elamur.ai/free/en/venues/lrec/2020/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2018](https://md.research.elamur.ai/free/en/venues/naacl/2018/) ## Cited by Papers of our library cite their works 446 times (of the 141,840 papers whose bibliographies we read); [56 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sabrina-j-mielke/cited-by/). Updated 24 October 2026