SEMANTIK TEGLASHNING FE’L SO‘Z TURKUMIGA OID GURUHLAR TASNIFI

Authors

  • Ismadiyorov Zafar Author

Keywords:

tagging, probability theory, metric, CLAWS, lemmatizer, terminology, syntactic analysis, morphological stemmers.

Abstract

This article describes the process of semantic tagging of the text, its methods, its practical importance, specific features, and the reasons for changing verbs within the verb phrase.

References

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Abdurakhmonova, N. Z., Ismailov, A. S., & Mengliev, D. (2022, November). Developing NLP Tool for Linguistic Analysis of Turkic Languages. In 2022 IEEE International Multi- Conference on Engineering, Computer and Information Sciences (SIBIRCON) (pp. 1790- 1793). IEEE

Абдурахмонова, Н., & Бойсариева, С. (2023). Tabiiy tilni qayta ishlashda (nlp) okkazionalizmlarning morfem tahlili. Международный журнал искусство слова, 6(3)

Abdurakhmonova, N., Tuliyev, U., Ismailov, A., & Abduvahobo, G. (2022). UZBEK ELECTRONIC CORPUS AS A TOOL FOR LINGUISTIC ANALYSIS.

In Компьютерная обработка тюркских языков. TURKLANG 2022 (pp. 231-240)

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

R. Garside. The CLAWS Work-tagging System. In: R. Garside, G. Leech and G. Sampson(eds), The Computational Analysis of English: A Corpus-based Approach. London: Longman, P. 3.

R. Delmonte. Computational Linguistics Text Processing: Lexicon, grammar, Parsing and Anaphora Resolution, Nova Science Publishers, Inc. New York, 2008.

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Published

2024-06-24

Issue

Section

SECTION 3. Language and speech analysis in NLP (morphological, syntactic and semantic analysis; speech analysis and synthesis).

How to Cite

SEMANTIK TEGLASHNING FE’L SO‘Z TURKUMIGA OID GURUHLAR TASNIFI. (2024). «CONTEMPORARY TECHNOLOGIES OF COMPUTATIONAL LINGUISTICS», 2(22.04), 270-272. https://myscience.uz/index.php/linguistics/article/view/63

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