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sfrontull/lld_gherd-ita

24 downloads in 30 days1 likesLast modified 16 Oct 2025View on Hugging Face
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sfrontull/lld_gherd-itasfrontull/lld_gherd…cc-by-nc-sa-4.0: declared licencecc-by-nc-sa-4…declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
sfrontull/lld_gherd-itasfrontull/lld_g…cc-by-nc-sa-4.0: declared licencecc-by-nc-sa-4…declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
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Citation text from the card

@InProceedings{frontull-EtAl:2025:WMT,
  author    = {Frontull, Samuel  and  Ströhle, Thomas  and  Zoli, Carlo  and  Pescosta, Werner  and  Frenademez, Ulrike  and  Ruggeri, Matteo  and  Valentin, Daria  and  Comploj, Karin  and  Perathoner, Gabriel  and  Liotto, Silvia  and  Anvidalfarei, Paolo},
  title     = {Bringing Ladin to FLORES+},
  booktitle      = {Proceedings of the Tenth Conference on Machine Translation (WMT 2025)},
  month          = {November},
  year           = {2025},
  address        = {Suzhou, China},
  publisher      = {Association for Computational Linguistics},
  pages     = {1061--1071},
  abstract  = {Recent advances in neural machine translation (NMT) have opened new possibilities for developing translation systems also for smaller, so-called low-resource, languages. The rise of large language models (LLMs) has further revolutionized machine translation by enabling more flexible and context-aware generation. However, many challenges remain for low-resource languages, and the availability of high-quality, validated test data is essential to support meaningful development, evaluation, and comparison of translation systems. In this work, we present an extension of the FLORES+ dataset for two Ladin variants, Val Badia and Gherdëina, as a submission to the Open Language Data Initiative Shared Task 2025. To complement existing resources, we additionally release two parallel datasets for Gherdëina–Val Badia and Gherdëina–Italian. We validate these d

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dataset_licence({ "id": "sfrontull/lld_gherd-ita" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0