IDENTIFICATION OFF EMOTIVE WORDS IN COMPUTATIONAL LINGUISTICS AND THEIR TRANSLATION
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.
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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