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        <title>Enhancing Tuvan Language Resources through the FLORES Dataset</title>
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        <namePart type="given">Nachyn-Enkhedorzhu</namePart>
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    <abstract>FLORES is a benchmark dataset designed for evaluating machine translation systems, partic- ularly for low-resource languages. This paper, conducted as a part of Open Language Data Ini- tiative (OLDI) shared task, presents our contri- bution to expanding the FLORES dataset with high-quality translations from Russian to Tu- van, an endangered Turkic language. Our ap- proach combined the linguistic expertise of na- tive speakers to ensure both accuracy and cul- tural relevance in the translations. This project represents a significant step forward in support- ing Tuvan as a low-resource language in the realm of natural language processing (NLP) and machine translation (MT).</abstract>
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%0 Conference Proceedings
%T Enhancing Tuvan Language Resources through the FLORES Dataset
%A Kuzhuget, Ali
%A Mongush, Airana
%A Oorzhak, Nachyn-Enkhedorzhu
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Ninth Conference on Machine Translation
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F kuzhuget-etal-2024-enhancing
%X FLORES is a benchmark dataset designed for evaluating machine translation systems, partic- ularly for low-resource languages. This paper, conducted as a part of Open Language Data Ini- tiative (OLDI) shared task, presents our contri- bution to expanding the FLORES dataset with high-quality translations from Russian to Tu- van, an endangered Turkic language. Our ap- proach combined the linguistic expertise of na- tive speakers to ensure both accuracy and cul- tural relevance in the translations. This project represents a significant step forward in support- ing Tuvan as a low-resource language in the realm of natural language processing (NLP) and machine translation (MT).
%U https://aclanthology.org/2024.wmt-1.46
%P 593-599

Markdown (Informal)

[Enhancing Tuvan Language Resources through the FLORES Dataset](https://aclanthology.org/2024.wmt-1.46) (Kuzhuget et al., WMT 2024)

• Enhancing Tuvan Language Resources through the FLORES Dataset (Kuzhuget et al., WMT 2024)

ACL

• Ali Kuzhuget, Airana Mongush, and Nachyn-Enkhedorzhu Oorzhak. 2024. Enhancing Tuvan Language Resources through the FLORES Dataset. In Proceedings of the Ninth Conference on Machine Translation, pages 593–599, Miami, Florida, USA. Association for Computational Linguistics.