O‘ZBEKCHA MATNLARNI SEMANTIK TAHLIL QILISH ALGORITMI: MUAMMO VA YECHIMLAR

Authors

  • Alijonova Fayruza Tohirjon qizi Author

Keywords:

natural language processing (NLP), corpus, polysemy, ontology, model, lexicon.

Abstract

In this article, we will discuss some of the problems and shortcomings encountered in the process of semantic analysis of texts in the Uzbek language, some practical approaches aimed at solving them, ongoing research, and future research directions that need to be undertaken to improve the semantic analysis process.

References

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3. Elov B., Hamroyeva Sh., Hamroqulova M. NLPda semantik teglash usullari. ResearchGate, 2024. https://www.researchgate.net/publication/381338569_NLPDA_SEMANTIK_TEGLASH_USULLARI

4. Devlin, J. et al. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint.

5. Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.). Draft version. Stanford University.

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7. Abdurakhmonova N. Dependency parsing based on Uzbek Corpus. InProceedings of the International Conference on Language Technologies for All (LT4All) 2019.

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Published

2025-08-04

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