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# Who cites «A Survey of Corpora for Germanic Low-Resource Languages and Dialects»

22 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/blaschke-2023-survey-corpora-germanic-low-resource/)

1. [Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect Adaptation](https://aclanthology.org/2026.bucc-1.9/) *— 2026 · Proceedings of the 19th Workshop on Building and Using Comparable Corpora (BUCC)*
2. [CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data](https://aclanthology.org/2026.acl-long.1527/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation](https://arxiv.org/abs/2506.02894) *— 2025 · arXiv:2506.02894*
4. [Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study](https://aclanthology.org/2025.vardial-1.10/) *— 2025 · Proceedings of the 12th Workshop on NLP for Similar Languages, Varieties and Dialects*
5. [Make Every Letter Count: Building Dialect Variation Dictionaries from Monolingual Corpora](https://aclanthology.org/2025.findings-emnlp.762/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
6. [Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning](https://aclanthology.org/2024.acl-long.620/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://arxiv.org/abs/2402.07827) *— 2024 · arXiv:2402.07827*
8. [MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank](https://aclanthology.org/2024.lrec-main.953/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
9. [RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs](https://aclanthology.org/2024.emnlp-main.729/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
10. [Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data](https://aclanthology.org/2024.lrec-main.1262/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
11. [Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects](https://aclanthology.org/2024.emnlp-main.251/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
12. [What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects](https://aclanthology.org/2024.acl-short.74/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
13. [GlotLID: Language Identification for Low-Resource Languages](https://aclanthology.org/2023.findings-emnlp.410/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
14. [Low-resource Bilingual Dialect Lexicon Induction with Large Language Models](https://arxiv.org/abs/2304.09957) *— 2023 · arXiv:2304.09957*
15. benton-2026-mining-naturally-romanized-seed-corpora
16. bhandari-2026-voices-margins-modeling-linguistic-diversity
17. bui-2026-meenz-bleibt-meenz-but-large
18. franzini-2026-south-tyrolean-dialect-standard-speech
19. jesus-2024-data-collection-pipeline-low-resource
20. schneider-2026-subtokens-rich-character-embedding-low
21. simons-2024-highly-granular-dialect-normalization-phonological
22. ticona-2025-indigenous-languages-spoken-argentina-survey
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