UzBERT: pretraining a BERT model for Uzbek

B. Mansurov; A. Mansurov

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arXiv · 2108.09814

UzBERT: pretraining a BERT model for Uzbek

B. Mansurov·A. Mansurov

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Abstract

Pretrained language models based on the Transformer architecture have achieved state-of-the-art results in various natural language processing tasks such as part-of-speech tagging, named entity recognition, and question answering. However, no such monolingual model for the Uzbek language is publicly available. In this paper, we introduce UzBERT, a pretrained Uzbek language model based on the BERT architecture. Our model greatly outperforms multilingual BERT on masked language model accuracy. We make the model publicly available under the MIT open-source license.

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BibTeX RIS

B. Mansurov, A. Mansurov. 2021-08-22. UzBERT: pretraining a BERT model for Uzbek. https://arxiv.org/abs/2108.09814

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