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Creating a morphological and syntactic tagged corpus for the Uzbek language

arXiv 2210.15234 ↗First posted 27 Oct 2022cs.CLcited by 1

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Abstract (arXiv)

Nowadays, creation of the tagged corpora is becoming one of the most important tasks of Natural Language Processing (NLP). There are not enough tagged corpora to build machine learning models for the low-resource Uzbek language. In this paper, we tried to fill that gap by developing a novel Part Of Speech (POS) and syntactic tagset for creating the syntactic and morphologically tagged corpus of the Uzbek language. This work also includes detailed description and presentation of a web-based application to work on a tagging as well. Based on the developed annotation tool and the software, we share our experience results of the first stage of the tagged corpus creation

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 27 references that are in the map. First posted on arXiv 27 Oct 2022.

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5 of 27 references.

References · 5

  1. 2020Cross-Lingual Word Embeddings for Turkic Languagescited by 12
  2. 2022SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek languagecited by 10
  3. 2022A machine transliteration tool between Uzbek alphabetscited by 8
  4. 2020Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Commentscited by 5
  5. 2021UzBERT: pretraining a BERT model for Uzbekcited by 5

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Citing papers per year: 2023: 1.

1 paper.

  1. 2023UzbekTagger: The rule-based POS tagger for Uzbek languagecited by 2