---
title: "Who cites Expanding Pretrained Models to — 47 citing papers"
description: "47 papers of the Elamur Research library cite «Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation»…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Expanding Pretrained Models to Thousands More…](https://md.research.elamur.ai/free/en/papers/wang-2022-expanding-pretrained-models-thousands-more/) / cited by

# Who cites «Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation»

47 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation»](https://md.research.elamur.ai/free/en/papers/wang-2022-expanding-pretrained-models-thousands-more/)

1. **[NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages](https://md.research.elamur.ai/free/en/papers/winata-2023-nusax-multilingual-parallel-sentiment-dataset/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, et al.*2023 · 130 citations*
2. **[FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models](https://md.research.elamur.ai/free/en/papers/dobler-2023-focus-effective-embedding-initialization-monolingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Konstantin Dobler, Gerard de Melo*2023 · 61 citations*
3. [**Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect**Delphine Bernhard, Nathanaël Beiner, Barbara Hoff*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bernhard-2025-pre-annotation-matters-comparative-study/)
4. **[Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted Resources](https://md.research.elamur.ai/free/en/papers/ozer-2026-interlinear-glosses-as-multilingual-pivot/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Volkan Ozer, Shu Okabe, Alexander Fraser*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2022-expanding-pretrained-models-thousands-more/) — Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation