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LVBERT: Transformer-Based Model for Latvian Language Understanding
Artūrs Znotiņš, Guntis Barzdiņš
111 - 115
10.3233/FAIA200610
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 328: Human Language Technologies – The Baltic Perspective
Abstract

This paper presents LVBERT – the first publicly available monolingual language model pre-trained for Latvian. We show that LVBERT improves the state-of-the-art for three Latvian NLP tasks including Part-of-Speech tagging, Named Entity Recognition and Universal Dependency parsing. We release LVBERT to facilitate future research and downstream applications for Latvian NLP.

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