UzBERT: pretraining a BERT model for Uzbek
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 18 of its 24 references that are in the map. First posted on arXiv 22 Aug 2021.
Builds on
18 of 24 references.
References · 18
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6 more
- 2019Multilingual is not enough: BERT for Finnishcited by 119
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Citing papers per year: 2022: 4; 2023: 0; 2024: 1.
5 papers.
- 2022SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek languagecited by 10
- 2022A machine transliteration tool between Uzbek alphabetscited by 8
- 2024Recent Advancements and Challenges of Turkic Central Asian Language Processingcited by 6
- 2022Uzbek Sentiment Analysis based on local Restaurant Reviewscited by 3
- 2022Creating a morphological and syntactic tagged corpus for the Uzbek languagecited by 1
- 2024Recent Advancements and Challenges of Turkic Central Asian Language Processing6 Jul 2024
- 2022Creating a morphological and syntactic tagged corpus for the Uzbek language27 Oct 2022
- 2022Uzbek Sentiment Analysis based on local Restaurant Reviews31 May 2022
- 2022A machine transliteration tool between Uzbek alphabets19 May 2022
- 2022SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language12 May 2022