---
title: "Who cites Géraldine Walther — 192 papers of our library"
description: "192 papers of the Elamur Research library cite the works of Géraldine Walther, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/geraldine-walther/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/geraldine-walther/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Géraldine Walther](https://md.research.elamur.ai/free/en/authors/geraldine-walther/) / cited by

# Who cites Géraldine Walther

225 citations of their works from 192 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · [← Géraldine Walther](https://md.research.elamur.ai/free/en/authors/geraldine-walther/)

1. **[A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 401 citations*
2. **[JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/agic-2019-jw300-wide-coverage-parallel-corpus/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Željko Agić, Ivan Vulić*2019 · 374 citations*
3. **[Systematic Inequalities in Language Technology Performance across the World's Languages](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 216 citations*
4. **[Are All Languages Equally Hard to Language-Model?](https://md.research.elamur.ai/free/en/papers/cotterell-2018-are-all-languages-equally-hard/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ryan Cotterell, Sabrina J. Mielke, Jason Eisner, et al.*2018 · 148 citations*
5. **[Pushing the Limits of Low-Resource Morphological Inflection](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2019-pushing-limits-low-resource-morphological/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Antonios Anastasopoulos, Graham Neubig*2019 · 137 citations*
6. **[What Kind of Language Is Hard to Language-Model?](https://md.research.elamur.ai/free/en/papers/mielke-2019-what-kind-language-is-hard/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman, et al.*2019 · 132 citations*
7. **[UniMorph 3.0: Universal Morphology](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-unimorph-3-0-universal-morphology/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Arya D. McCarthy, Christo Kirov, Matteo Grella, et al.*2020 · 122 citations*
8. **[The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-johns-hopkins-university-bible-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Arya D. McCarthy, Rachel Wicks, Dylan Lewis, et al.*2020 · 116 citations*
9. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
10. **[On the Complexity and Typology of Inflectional Morphological Systems](https://md.research.elamur.ai/free/en/papers/cotterell-2019-complexity-typology-inflectional-morphological-systems/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ryan Cotterell, Christo Kirov, Mans Hulden, et al.*2019 · 81 citations*
11. **[Morphology Matters: A Multilingual Language Modeling Analysis](https://md.research.elamur.ai/free/en/papers/park-2021-morphology-matters-multilingual-language-modeling/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hyunji Hayley Park, Katherine J. Zhang, Coleman Haley, et al.*2021 · 64 citations*
12. [**Temporal Reasoning in Natural Language Inference**Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.*2020 · 59 citations*](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/)
13. [**MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology**Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia*2021 · 56 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2021-morphynet/)
14. **[Why do language models perform worse for morphologically complex languages?](https://md.research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Catherine Arnett, Benjamin Bergen*2025 · 53 citations*
15. [**Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction EMNLP-IJCNLP 2019 (Hong Kong)**Yova Kementchedjhieva, Mareike Hartmann, Anders Sgaard*2019 · 53 citations*](https://md.research.elamur.ai/free/en/papers/kementchedjhieva-2019-lost-in-evaluation/)
16. **[Marrying Universal Dependencies and Universal Morphology](https://md.research.elamur.ai/free/en/papers/mccarthy-2018-marrying-universal-dependencies-universal-morphology/) [Universal Dependencies Workshop (UDW)](https://md.research.elamur.ai/free/en/venues/udw/)**Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, et al.*2018 · 48 citations*
17. [**Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model**Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban*2023 · 47 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-chatgpt-wugs-morphology/)
18. [**A Simple Joint Model for Improved Contextual Neural Lemmatization**Chaitanya Malaviya, Shijie Wu, Ryan Cotterell*2019 · 39 citations*](https://md.research.elamur.ai/free/en/papers/malaviya-2019-simple-joint-model-improved-contextual/)
19. **[User-Centric Gender Rewriting](https://md.research.elamur.ai/free/en/papers/alhafni-2022-user-centric-gender-rewriting/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bashar Alhafni, Nizar Habash, Houda Bouamor*2022 · 29 citations*
20. [**Morphological Inflection: A Reality Check**Jordan Kodner, Sarah Payne, Salam Khalifa, et al.*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/kodner-2023-inflection-reality-check/)
21. **[Basic Language Resources for 31 Languages (Plus English): The LORELEI Representative and Incident Language Packs](https://md.research.elamur.ai/free/en/papers/tracey-2020-basic-language-resources-31-languages/) [Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)](https://md.research.elamur.ai/free/en/venues/sltu/)**Jennifer Tracey, Stephanie Strassel*2020 · 16 citations*
22. [**Wiktionary Normalization of Translations and Morphological Information**Winston Wu, David Yarowsky*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-wiktionary-normalization/)
23. **[HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories](https://md.research.elamur.ai/free/en/papers/ramarao-2022-heimorph-sigmorphon-2022-shared-task/) [Workshop of the Special Interest Group on Computational Morphology and Phonology (SIGMORPHON)](https://md.research.elamur.ai/free/en/venues/sigmorphon/)**Akhilesh Kakolu Ramarao, Yulia Zinova, Kevin Tang, et al.*2022 · 6 citations*
24. [**Few-Shot and Zero-Shot Learning for Historical Text Normalization**Marcel Bollmann, Natalia Korchagina, Anders Søgaard*2019 · 2 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2019-few-shot-zero-shot-learning/)
25. **[CommonMorph: Participatory Morphological Documentation Platform](https://md.research.elamur.ai/free/en/papers/mahmudi-2026-commonmorph-participatory-morphological-documentation-platform/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aso Mahmudi, Sina Ahmadi, Kemal Maulana Kurniawan, et al.*2026*
26. **[Linked Open Data for West Nilotic Languages: The NILOMORPH Project](https://md.research.elamur.ai/free/en/papers/pellegrini-2026-linked-open-data-west-nilotic/) [Workshop on Linked Data in Linguistics](https://md.research.elamur.ai/free/en/venues/ldl/)**Matteo Pellegrini, Matthew Baerman, Oliver Bond*2026*
27. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)
28. [**Character Alignment in Morphologically Complex Translation Sets for Related Languages**Michael Gasser, Binyam Ephrem Seyoum, Nazareth Amlesom Kifle*2020*](https://md.research.elamur.ai/free/en/papers/gasser-2020-character-alignment-morphologically-complex-translation/)

164 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/geraldine-walther/) — Géraldine Walther
