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Lisa Beinborn

Lisa Beinborn has 4 papers in our library, in 2026, most of them on English, Language models & pretraining, Multilingual & cross-lingual NLP; often with Aaricia Herygers, Jonas Mayer Martins, Zhuojing Huang.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 12 · 89 works · 420 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 8 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11353

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

🎓University of GöttingenGöttingen · Germany2024–2026 · 15 paperscurrent🎓University of GroningenGroningen · Netherlands2026 · 3 paperscurrent🎓Vrije Universiteit AmsterdamAmsterdam · Netherlands2020–2024 · 31 papers🎓University of AmsterdamAmsterdam · Netherlands2019–2023 · 6 papers🎓Technische Universität DarmstadtDarmstadt · Germany2012–2015 · 4 papers🎓University of CambridgeCambridge · United Kingdom2023–2024 · 3 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksDevelopmental and Educational Psychology · 2 worksPsychology · 2 works

🧭 Topics 5Research subjects and languages the work is about.English · 2 worksLanguage models & pretraining · 1 workMorphology · 1 workMultilingual & cross-lingual NLP · 1 workTokenization & segmentation · 1 work

 Works by year

2020s

20264 papers

 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 (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 (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 (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 (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 ↗Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024) · no summary yetJenia Kim, Stefan Leijnen, Lisa Beinborn2024 · 6 citations
  2. “Geen makkie”: Interpretable Classification and Simplification of Dutch Text Complexity ↗Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) · no summary yetEliza Hobo, Charlotte Pouw, Lisa Beinborn2023 · 6 citations
  3. BoostedCats at BEA 2026 Shared Task 1: What Makes a Word Hard to Learn? Modeling L1 Influence on English Vocabulary DifficultyWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers, et al.2026 · 1 citation
  4. TamilTok: Morphologically-Informed Tokenization for TamilWorkshop on Speech, Vision, and Language Technologies for Dravidian LanguagesSurendhar Muthukumar, Aaricia Herygers, Lisa Beinborn2026
  5. Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language ModelsAnnual Meeting of the Association for Computational Linguistics (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 difficultyarXiv:2605.12281Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers, et al.2026

 Co-authors here

4 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 8 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

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