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O‘zbekcha

IDENTIFICATION OFF EMOTIVE WORDS IN COMPUTATIONAL LINGUISTICS AND THEIR TRANSLATION

Authors

Keywords:

Компьютер лингвистикаси, эмотив сўзлар, таржима, контекст, табиий тилни ишлаш, лексик-симантик таҳлил, машина ўрганиш, тиллараро фарқлар, маданий фарқлар, сентиментал таҳлил.

Abstract

The article discusses the main issues and methods of solving them in the field of computational linguistics and the identification of emotive words. Emotive words are lexical units that express feelings, emotions, and internal states, and their automatic analysis and translation pose significant challenges. The article analyzes methods for identifying emotive words, including lexical-semantic analysis, machine learning, and natural language processing (NLP) techniques. Additionally, the translation issues of emotive words and the importance of preserving context are highlighted.

Author Biography

  • , Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti

    Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti, filologiya fanlari bo‘yicha falsafa doktori, dotsent

References

Agar M. (2018). Komp'yuter lingvistikasi: nazariy asoslar va amaliy tadqiqotlar. Toshkent davlat universiteti nashriyoti. Toshkent: 2018

Maxmudov A. Tilshunoslik va informatika: muloqotning texnik asoslari. O‘zbekiston matbuot. Toshkent: 2017

Kim, T. Natural Language Processing with Python. O'Reyli media. 2016

Shirinov N . Emotiv so‘zlarning komp'yuter lingvistikasidagi o‘rni. Jurnal "Komp'yuter lingvistikasi va mashinali tarjima".2019. 45(3), 23-30.

Seki H., & Oka, T. Machine Learning for Text Mining. Springer. 2020

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Published

2025-04-25

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