✨OpenLID-v3: Improving the Precision of Closely Related Language Identification -- An Experience Report
📝 Summary:
OpenLIDv3 improves language identification for closely related and low resource languages. It uses enhanced training data, cluster merging, and noise detection. This significantly boosts precision over prior tools.
🔹 Publication Date: Published on Feb 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.13139
• PDF: https://arxiv.org/pdf/2602.13139
• Project Page: https://huggingface.co/HPLT/OpenLID-v3
• Github: https://github.com/hplt-project/openlid
🔹 Models citing this paper:
• https://huggingface.co/HPLT/OpenLID-v3
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#LanguageIdentification #NLP #LowResourceLanguages #MachineLearning #AIResearch
📝 Summary:
OpenLIDv3 improves language identification for closely related and low resource languages. It uses enhanced training data, cluster merging, and noise detection. This significantly boosts precision over prior tools.
🔹 Publication Date: Published on Feb 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.13139
• PDF: https://arxiv.org/pdf/2602.13139
• Project Page: https://huggingface.co/HPLT/OpenLID-v3
• Github: https://github.com/hplt-project/openlid
🔹 Models citing this paper:
• https://huggingface.co/HPLT/OpenLID-v3
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LanguageIdentification #NLP #LowResourceLanguages #MachineLearning #AIResearch
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