KOMPYUTER LINGVISTIKASIDA TA’MINOT MASALASI VA SINONIM BIRLIKLARNING LINGVISTIK TA’MINOTI
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Kompyuter tilshunosligi, tilshunoslik va informatika kesishmasida joylashgan dinamik soha bo'lib, mashina tarjimasi, hissiyotlarni tahlil qilish va nutqni aniqlash kabi tabiiy tillarni qayta ishlash (NLP) ilovalarida hal qiluvchi rol o'ynaydi. Kompyuter tilshunosligining asosiy muammolaridan biri bu ta'minot muammosi, xususan, lingvistik resurslarning mavjudligi va ulardan foydalanish imkoniyati. Ushbu maqola sinonimik birliklarning lingvistik ta'minotiga e'tibor qaratgan holda kompyuter tilshunosligidagi ta'minot muammosini o'rganadi. Biz lingvistik resurslarning ahamiyatini, sinonimiya muammolarini va lingvistik taklif va hisoblash talabi o'rtasidagi tafovutni bartaraf etishning potentsial echimlarini muhokama qilamiz.
Nilufar SOTVOLDIYEVA. (2024). KOMPYUTER LINGVISTIKASIDA TA’MINOT MASALASI VA SINONIM BIRLIKLARNING LINGVISTIK TA’MINOTI. «O‘zMU XABARLARI», 1(1.1.1), 310–313. https://doi.org/10.69617/nuuz.v1i1.1.1.803
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2. Lyons, J. (1977). Semantics. Cambridge University Press.
3. McCarthy, D., & Navigli, R. (2007). Semeval-2007 Task 10: English Lexical Substitution Task. In Proceedings of the 4th International Workshop on Semantic Evaluations (SemEval-2007) (pp. 48-53).
4. Manning, C. D., & Schütze, H. (1999). Foundations of Statistical Natural Language Processing. MIT Press.
5. Mihalcea, R., & Pedersen, T. (2005). SenseRank: Bringing Order into WordNet Senses. In Proceedings of the 2005 Conference on Empirical Methods in Natural Language Processing (pp. 610-617).
6. Faruqui, M., Dyer, C., & Roth, D. (2016). Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (pp. 1116-1126).
7. Nivre, J., et al. (2016). Universal Dependencies v1: A Multilingual Treebank Collection. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (pp. 1659-1666).
8. Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008). Cheap and Fast—but is it Good?: Evaluating Non-Expert Annotations for Natural Language Tasks. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 254-263).
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