--- title: "Who cites A Survey of Corpora for Germanic Low-Resource…" description: "The papers of the Elamur Research library that cite «A Survey of Corpora for Germanic Low-Resource Languages and Dialects», found in their bibliographies." canonical: "https://research.elamur.ai/free/en/papers/blaschke-2023-survey-corpora-germanic-low-resource/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/blaschke-2023-survey-corpora-germanic-low-resource/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Survey of Corpora for Germanic Low-Resource…](https://md.research.elamur.ai/free/en/papers/blaschke-2023-survey-corpora-germanic-low-resource/) / cited by # 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.research.elamur.ai/free/en/papers/blaschke-2023-survey-corpora-germanic-low-resource/) 1. [Beyond Subtokens: A Rich Character Embedding for Low-resource and Morphologically Complex Languages](https://arxiv.org/abs/2602.21377) *— 2026 · arXiv:2602.21377* 2. [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)* 3. [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)* 4. [Meenz bleibt Meenz, but Large Language Models Do Not Speak Its Dialect](https://aclanthology.org/2026.lrec-1.258/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference* 5. [Mining Naturally Romanized Seed Corpora without Romanizations](https://aclanthology.org/2026.lrec-1.234/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference* 6. [South Tyrolean Dialect-to-Standard Speech Translation: A Resource](https://aclanthology.org/2026.dialres-1.19/) *— 2026 · Proceedings of the First Workshop on Dialects in NLP –- A Resource Perspective* 7. [Voices from the Margins: Modeling Linguistic Diversity in Spontaneous Speech for Low-Resource Languages](https://aclanthology.org/2026.computel-1.5/) *— 2026 · Proceedings of the Ninth Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-9)* 8. [A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation](https://arxiv.org/abs/2506.02894) *— 2025 · arXiv:2506.02894* 9. [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* 10. [Indigenous Languages Spoken in Argentina: A Survey of NLP and Speech Resources](https://aclanthology.org/2025.coling-main.565/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics* 11. [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* 12. [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)* 13. [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://arxiv.org/abs/2402.07827) *— 2024 · arXiv:2402.07827* 14. [Data Collection Pipeline for Low-Resource Languages: A Case Study on Constructing a Tetun Text Corpus](https://aclanthology.org/2024.lrec-main.390/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)* 15. [Highly Granular Dialect Normalization and Phonological Dialect Translation for Limburgish](https://aclanthology.org/2024.vardial-1.13/) *— 2024 · Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)* 16. [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)* 17. [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* 18. [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)* 19. [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* 20. [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)* 21. [GlotLID: Language Identification for Low-Resource Languages](https://aclanthology.org/2023.findings-emnlp.410/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023* 22. [Low-resource Bilingual Dialect Lexicon Induction with Large Language Models](https://arxiv.org/abs/2304.09957) *— 2023 · arXiv:2304.09957*