Modern Linguistics and Artificial Intelligence: The Development of Natural Language Processing (NLP) Technologies

Khasanova, Nozima, Хасанова, Нозима, Xasanova, Nozima

Хорижий лингвистика ва лингводидактика · 2026-yil

Annotatsiya

The article analyzes the stages in the development of natural language processing (NLP) technologies in relation to modern linguistic theory. The author distinguishes three stages—rule-based, statistical, and neural-transformer—and examines the role of linguistic knowledge at each stage and how that role has evolved. Particular attention is paid to the implementation of the distributional principle in vector models, the findings of probing studies on the grammatical knowledge of large language models, and the relationship between form and meaning. The article also discusses the linguistic challenges involved in adapting NLP technologies to morphologically rich and low-resource languages, including Uzbek, such as agglutinative morphology, tokenization, the coexistence of two writing systems, and the scarcity of corpora. The article concludes that the relationship between linguistics and artificial intelligence constitutes a two-way theoretical exchange rather than a one-way service relationship.

Maqola ma’lumotlari
MualliflarKhasanova, Nozima, Хасанова, Нозима, Xasanova, Nozima
JurnalХорижий лингвистика ва лингводидактика
NashriyotСамарқанд давлат чет тиллар институти
ISSN0000-0003, 4295-8199
Nashr sanasi2026-08-25
Jild4
Son7/S
Betlar77-84
TilIngliz
Ilmiy sohaFilologiya
DOI10.47689/2181-3701-vol4-iss7/s-pp77-84
Indeksga qo‘shilgan2026-09-26

Kalit so‘zlar

обработка естественного языка, искусственный интеллект, компьютерная лингвистика, дистрибутивная семантика, большие языковые модели, трансформер, probing, агглютинативные языки, малоресурсные языки, корпус узбекского языка, natural language processing, artificial intelligence, computational linguistics, distributional semantics, large language models, transformers, probing, agglutinative languages, low-resource languages, Uzbek corpus, tabiiy tilni qayta ishlash, sun’iy intellekt, hisoblash lingvistikasi, distributiv semantika, katta til modellari, transformer, probing, agglyutinativ tillar, kam resursli tillar, o‘zbek tili korpusi

Ilmiy soha

Iqtibos keltirish

APAKhasanova, Nozima, Хасанова, Нозима, & Xasanova, Nozima (2026). Modern Linguistics and Artificial Intelligence: The Development of Natural Language Processing (NLP) Technologies. Хорижий лингвистика ва лингводидактика, 4(7/S), 77-84. https://doi.org/10.47689/2181-3701-vol4-iss7/s-pp77-84
GOST (OAK)Khasanova, Nozima, Хасанова, Нозима, Xasanova, Nozima Modern Linguistics and Artificial Intelligence: The Development of Natural Language Processing (NLP) Technologies // Хорижий лингвистика ва лингводидактика. – 2026. – T. 4, № 7/S. – P. 77-84. – DOI: 10.47689/2181-3701-vol4-iss7/s-pp77-84.
MLAKhasanova, Nozima, Хасанова, Нозима, and Xasanova, Nozima. “Modern Linguistics and Artificial Intelligence: The Development of Natural Language Processing (NLP) Technologies.” Хорижий лингвистика ва лингводидактика, 4(7/S), 77-84, 2026. https://doi.org/10.47689/2181-3701-vol4-iss7/s-pp77-84
ChicagoKhasanova, Nozima, Хасанова, Нозима, and Xasanova, Nozima. “Modern Linguistics and Artificial Intelligence: The Development of Natural Language Processing (NLP) Technologies.” Хорижий лингвистика ва лингводидактика, 4(7/S), 77-84 (2026). https://doi.org/10.47689/2181-3701-vol4-iss7/s-pp77-84
HarvardKhasanova, Nozima, Хасанова, Нозима, and Xasanova, Nozima (2026) ‘Modern Linguistics and Artificial Intelligence: The Development of Natural Language Processing (NLP) Technologies’, Хорижий лингвистика ва лингводидактика, 4(7/S), 77-84. https://doi.org/10.47689/2181-3701-vol4-iss7/s-pp77-84
BibTeX
@article{khasanovanozima2026,
  title = {Modern Linguistics and Artificial Intelligence: The Development of Natural Language Processing (NLP) Technologies},
  author = {Khasanova, Nozima and Хасанова, Нозима and Xasanova, Nozima},
  journal = {Хорижий лингвистика ва лингводидактика},
  year = {2026},
  volume = {4},
  number = {7/S},
  pages = {77-84},
  doi = {10.47689/2181-3701-vol4-iss7/s-pp77-84},
  url = {https://doi.org/10.47689/2181-3701-vol4-iss7/s-pp77-84}
}

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