---
title: "Who cites Cross-lingual Character-Level — 39 citing papers"
description: "39 papers of the Elamur Research library cite «Cross-lingual Character-Level Neural Morphological Tagging», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/cotterell-2017-cross-lingual-character-level-neural/cited-by/"
---
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# Who cites «Cross-lingual Character-Level Neural Morphological Tagging»

39 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Cross-lingual Character-Level Neural Morphological Tagging»](https://md.research.elamur.ai/free/en/papers/cotterell-2017-cross-lingual-character-level-neural/)

1. **[Choosing Transfer Languages for Cross-Lingual Learning](https://md.research.elamur.ai/free/en/papers/lin-2019-choosing-transfer-languages-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.*2019 · 317 citations*
2. **[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 254 citations*
3. **[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*
4. [**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/)
5. [**Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling**Nasser Zalmout, Nizar Habash*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2019-adversarial-multitask-learning-joint-multi/)
6. [**On the Role of Morphological Information for Contextual Lemmatization**Olia Toporkov, Rodrigo Agerri*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/toporkov-2024-role-morphological-information-contextual-lemmatization/)
7. **[BRAGD: Constrained Multi-Label POS Tagging for Faroese](https://md.research.elamur.ai/free/en/papers/simonsen-2026-bragd-constrained-multi-label-pos/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Annika Simonsen, Barbara Scalvini, Uni Johannesen, et al.*2026*

32 more papers of our library cite it; they have no page here yet.

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