---
title: "Who cites Neural Text Normalization for — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Neural Text Normalization for Luxembourgish Using Real-Life Variation Data», found in their…"
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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/) / [Neural Text Normalization for Luxembourgish Using…](https://md.research.elamur.ai/free/en/papers/lutgen-2025-neural-text-normalization-luxembourgish-real/) / cited by

# Who cites «Neural Text Normalization for Luxembourgish Using Real-Life Variation Data»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Neural Text Normalization for Luxembourgish Using Real-Life Variation Data»](https://md.research.elamur.ai/free/en/papers/lutgen-2025-neural-text-normalization-luxembourgish-real/)

1. **[Do LLMs Judge Distantly Supervised Named Entity Labels Well? Constructing the JudgeWEL Dataset](https://md.research.elamur.ai/free/en/papers/plum-2026-do-llms-judge-distantly-supervised/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Alistair Plum, Laura Maria Bernardy, Tharindu Ranasinghe*2026 · 1 citation*
2. **[A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT](https://md.research.elamur.ai/free/en/papers/rehlinger-2026-fine-grained-linguistic-evaluation-low/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Nils Rehlinger*2026*
3. **[A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments](https://md.research.elamur.ai/free/en/papers/lutgen-2026-subword-embedding-approach-variation-detection/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Anne-Marie Lutgen, Alistair Plum, Christoph Purschke*2026*
4. **[Kyrgyz Text Normalization: A Comparative Study of Neural and Rule-Based Approaches](https://md.research.elamur.ai/free/en/papers/uvalieva-2026-kyrgyz-text-normalization-comparative-study/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Zarina Uvalieva, Bektemir Kumarbai Uulu, Adilet Metinov, et al.*2026*
5. **[ltzGLUE: Luxembourgish General Language Understanding Evaluation](https://md.research.elamur.ai/free/en/papers/plum-2026-ltzglue-luxembourgish-general-language-understanding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alistair Plum, Felicia Körner, Anne-Marie Lutgen, et al.*2026*
6. **[Variation Is the Norm: Embracing Sociolinguistics in NLP](https://md.research.elamur.ai/free/en/papers/lutgen-2026-variation-is-norm-embracing-sociolinguistics/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anne-Marie Lutgen, Alistair Plum, Verena Blaschke, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lutgen-2025-neural-text-normalization-luxembourgish-real/) — Neural Text Normalization for Luxembourgish Using Real-Life Variation Data