--- title: "Lisa Beinborn — author profile and papers — Elamur Research" description: "Lisa Beinborn, University of Groningen: 4 papers on Elamur Research (2026), h-index 12 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/lisa-beinborn/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lisa-beinborn/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lisa Beinborn # Lisa Beinborn Lisa Beinborn has 4 papers in our library, in 2026, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Aaricia Herygers](https://md.research.elamur.ai/free/en/authors/aaricia-herygers/), [Jonas Mayer Martins](https://md.research.elamur.ai/free/en/authors/jonas-mayer-martins/), [Zhuojing Huang](https://md.research.elamur.ai/free/en/authors/zhuojing-huang/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5087195265) · [ORCID](https://orcid.org/0000-0001-8654-2190) · [**h-index 12**](https://openalex.org/authors/A5087195265) · [89 works](https://openalex.org/works?filter=author.id:A5087195265) · [420 citations](https://openalex.org/works?filter=author.id:A5087195265&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/lisa-beinborn/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/lisa-beinborn/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12716](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12716) 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=Lisa+Beinborn) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lisa+Beinborn) · [dblp](https://dblp.org/search?q=Lisa+Beinborn) · [ACL Anthology](https://aclanthology.org/search/?q=Lisa+Beinborn) ## Affiliations [🎓**University of Göttingen** Göttingen · Germany 2024–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-gottingen/) · [🎓**University of Groningen** Groningen · Netherlands 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-groningen/) · [🎓**Vrije Universiteit Amsterdam** Amsterdam · Netherlands 2020–2024 · 31 papers](https://md.research.elamur.ai/free/en/universities/vrije-universiteit-amsterdam/) · [🎓**University of Amsterdam** Amsterdam · Netherlands 2019–2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) · [🎓**Technische Universität Darmstadt** Darmstadt · Germany 2012–2015 · 4 papers](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Developmental and Educational Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 5 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/lisa-beinborn/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[BoostedCats at BEA 2026 Shared Task 1: What Makes a Word Hard to Learn? Modeling L1 Influence on English Vocabulary Difficulty](https://md.research.elamur.ai/free/en/papers/martins-2026-boostedcats-bea-2026-shared-task/)** *(2026 · 1 citation)* The paper asks why some English words are harder to learn than others and how this depends on the learner's first language. 2. **[TamilTok: Morphologically-Informed Tokenization for Tamil](https://md.research.elamur.ai/free/en/papers/muthukumar-2026-tamiltok-morphologically-informed-tokenization-tamil/)** *(2026)* Tamil is an agglutinative Dravidian language with sandhi sound changes at morpheme junctions and its own abugida script. It is usually processed with multilingual subword tokenizers. Their frequency-based vocabularies break Tamil words into many fragments that ignore morpheme boundaries. 3. **[Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language Models](https://md.research.elamur.ai/free/en/papers/martins-2026-vocabulary-shapes-cross-lingual-variation/)** *(2026)* The paper asks why languages such as Czech tolerate flexible word order while languages like English do not, and whether this affects how easily a language model can learn them. 4. **[What makes a word hard to learn? Modeling L1 influence on English vocabulary difficulty](https://md.research.elamur.ai/free/en/papers/martins-2026-makes-word-hard-learn-modeling/)** *(2026)* The paper asks why some English words are harder to learn than others, and how much that depends on the learner's native language. ## All works 6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Considering Human Interaction and Variability in Automatic Text Simplification ↗](https://aclanthology.org/2024.tsar-1.6/) Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024) · no summary yet**Jenia Kim, Stefan Leijnen, Lisa Beinborn*2024 · 6 citations* 2. **[“Geen makkie”: Interpretable Classification and Simplification of Dutch Text Complexity ↗](https://aclanthology.org/2023.bea-1.42/) Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) · no summary yet**Eliza Hobo, Charlotte Pouw, Lisa Beinborn*2023 · 6 citations* 3. **[BoostedCats at BEA 2026 Shared Task 1: What Makes a Word Hard to Learn? Modeling L1 Influence on English Vocabulary Difficulty](https://md.research.elamur.ai/free/en/papers/martins-2026-boostedcats-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers, et al.*2026 · 1 citation* 4. **[TamilTok: Morphologically-Informed Tokenization for Tamil](https://md.research.elamur.ai/free/en/papers/muthukumar-2026-tamiltok-morphologically-informed-tokenization-tamil/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Surendhar Muthukumar, Aaricia Herygers, Lisa Beinborn*2026* 5. **[Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language Models](https://md.research.elamur.ai/free/en/papers/martins-2026-vocabulary-shapes-cross-lingual-variation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann, et al.*2026* 6. [**What makes a word hard to learn? Modeling L1 influence on English vocabulary difficulty arXiv:2605.12281**Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martins-2026-makes-word-hard-learn-modeling/) ## Co-authors here 4 co-authors with a page, the most papers together first. - [Aaricia Herygers](https://md.research.elamur.ai/free/en/authors/aaricia-herygers/) ×3 - [Jonas Mayer Martins](https://md.research.elamur.ai/free/en/authors/jonas-mayer-martins/) ×3 - [Zhuojing Huang](https://md.research.elamur.ai/free/en/authors/zhuojing-huang/) ×2 - [Jaap Jumelet](https://md.research.elamur.ai/free/en/authors/jaap-jumelet/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/) ×2: [BEA 2026](https://md.research.elamur.ai/free/en/venues/bea/2026/) - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/): [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages 2026](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/2026/) - Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024) ## Cited by Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lisa-beinborn/cited-by/). Updated 1 November 2026