mlsanityData to 14 Oct 2026

UzBERT: pretraining a BERT model for Uzbek

arXiv 2108.09814 ↗First posted 22 Aug 2021cs.CLcited by 5

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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
  1. 2019Multilingual is not enough: BERT for Finnishcited by 119
  2. 2013Polyglot: Distributed Word Representations for Multilingual NLPcited by 19
  3. 2020KR-BERT: A Small-Scale Korean-Specific Language Modelcited by 17
  4. 2020Cross-Lingual Word Embeddings for Turkic Languagescited by 12
  5. 2021Uzbek Cyrillic-Latin-Cyrillic Machine Transliterationcited by 4
  6. 2020Development of Word Embeddings for Uzbek Languagecited by 1

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Citing papers per year: 2022: 4; 2023: 0; 2024: 1.

5 papers.