---
title: "Who cites A Multi-Dialectal Dataset for — 11 citing papers"
description: "11 papers of the Elamur Research library cite «A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech…"
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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/) / [A Multi-Dialectal Dataset for German Dialect ASR…](https://md.research.elamur.ai/free/en/papers/blaschke-2025-multi-dialectal-dataset-german-dialect/) / cited by

# Who cites «A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation»

11 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 «A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation»](https://md.research.elamur.ai/free/en/papers/blaschke-2025-multi-dialectal-dataset-german-dialect/)

1. **[Extending ASR Evaluation Resources for Modern Greek Dialects](https://md.research.elamur.ai/free/en/papers/tsoukala-2026-extending-asr-evaluation-resources-modern/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Chara Tsoukala, Stavros Bompolas, Antigoni Margariti, et al.*2026 · 4 citations*
2. **[Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects](https://md.research.elamur.ai/free/en/papers/blaschke-2026-standard-dialect-transfer-trends-differ/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Verena Blaschke, Miriam Winkler, Barbara Plank*2026 · 4 citations*
3. [**Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian arXiv:2509.05668**Michael Hoffmann, Jophin John, Stefan Schweter, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/hoffmann-2025-llama-genba-10b-trilingual-large/)
4. **[Digital Preservation of Aromanian Through Knowledge Management and Automatic Speech Recognition Evaluation](https://md.research.elamur.ai/free/en/papers/pendevska-2026-digital-preservation-aromanian-through-knowledge/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Marija Pendevska, Hristina Nastevska*2026*
5. **[Exploring the reusability of Northern Kurdish resources for Badini speech recognition](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-exploring-reusability-northern-kurdish-resources/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Mohammad Mohammadamini, Aveen Jalal Mohammed, Barzan Hussein Mohammed, et al.*2026*
6. [**NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task arXiv:2609.27086**Peter Sullivan, Bashar Talafha, Ahmed Ashraf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sullivan-2026-nadi-2026-second-multidialectal-arabic/)
7. **[Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus](https://md.research.elamur.ai/free/en/papers/oberkircher-2026-saar-voice-multi-speaker-saarbrucken/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Lena Sophie Oberkircher, Jesujoba Alabi, Dietrich Klakow, 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/blaschke-2025-multi-dialectal-dataset-german-dialect/) — A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation