This article analyzes current problems in the development of artificial intelligence and natural language processing (NLP) models for low-resource languages, in particular, the Karakalpak language. The main goal of the research is to develop a methodology for data refinement and normalization to improve model accuracy under conditions of data scarcity. In the methods section, special normalization algorithms and Byte Pair Encoding (BPE) tokenization were used for specific letters of the Karakalpak language. The results showed that the proposed preprocessing methods made it possible to significantly reduce the model error (Loss) and increase the translation and search accuracy (BLEU score) from 12.4 to 24.8. The research findings serve as a theoretical and practical basis for creating digital dictionaries and intelligent systems for low-resource languages.
| Mualliflar | Aimbetova , Gulara, Sarsenbaeva, Hu’rlixa, Djumabaev , Alpamis |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashriyot | Жиззах политехника институти |
| ISSN | 3030-3702, 3030-3702 |
| Nashr sanasi | 2026-05-14 |
| Jild | 4 |
| Son | 5 |
| Betlar | 43-48 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| DOI | 10.47390/ts-v4i5y2026n07 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.47390/ts-v4i5y2026n07 · Maqolaning asl sahifasi
NLP, low-resource languages, Karakalpak language, preprocessing, normalization, artificial intelligence, machine translation, NLP, kam resursli tillar, qoraqalpoq tili, preprocessing, normallashtirish, sun’iy intellekt, mashinali tarjima.
| APA | Aimbetova , Gulara, Sarsenbaeva, Hu’rlixa, & Djumabaev , Alpamis (2026). EFFICIENCY AND EXISTING PROBLEMS OF ARTIFICIAL INTELLIGENCE MODELS IN THE DIGITALIZATION OF LOW-RESOURCE LANGUAGES. Techscience.uz - техника фанлари долзарб масалалри, 4(5), 43-48. https://doi.org/10.47390/ts-v4i5y2026n07 |
|---|---|
| GOST (OAK) | Aimbetova , Gulara, Sarsenbaeva, Hu’rlixa, Djumabaev , Alpamis EFFICIENCY AND EXISTING PROBLEMS OF ARTIFICIAL INTELLIGENCE MODELS IN THE DIGITALIZATION OF LOW-RESOURCE LANGUAGES // Techscience.uz - техника фанлари долзарб масалалри. – 2026. – T. 4, № 5. – P. 43-48. – DOI: 10.47390/ts-v4i5y2026n07. |
| MLA | Aimbetova , Gulara, Sarsenbaeva, Hu’rlixa, and Djumabaev , Alpamis. “EFFICIENCY AND EXISTING PROBLEMS OF ARTIFICIAL INTELLIGENCE MODELS IN THE DIGITALIZATION OF LOW-RESOURCE LANGUAGES.” Techscience.uz - техника фанлари долзарб масалалри, 4(5), 43-48, 2026. https://doi.org/10.47390/ts-v4i5y2026n07 |
| Chicago | Aimbetova , Gulara, Sarsenbaeva, Hu’rlixa, and Djumabaev , Alpamis. “EFFICIENCY AND EXISTING PROBLEMS OF ARTIFICIAL INTELLIGENCE MODELS IN THE DIGITALIZATION OF LOW-RESOURCE LANGUAGES.” Techscience.uz - техника фанлари долзарб масалалри, 4(5), 43-48 (2026). https://doi.org/10.47390/ts-v4i5y2026n07 |
| Harvard | Aimbetova , Gulara, Sarsenbaeva, Hu’rlixa, and Djumabaev , Alpamis (2026) ‘EFFICIENCY AND EXISTING PROBLEMS OF ARTIFICIAL INTELLIGENCE MODELS IN THE DIGITALIZATION OF LOW-RESOURCE LANGUAGES’, Techscience.uz - техника фанлари долзарб масалалри, 4(5), 43-48. https://doi.org/10.47390/ts-v4i5y2026n07 |
| BibTeX | @article{aimbetovagulara2026,
title = {EFFICIENCY AND EXISTING PROBLEMS OF ARTIFICIAL INTELLIGENCE MODELS IN THE DIGITALIZATION OF LOW-RESOURCE LANGUAGES},
author = {Aimbetova , Gulara and Sarsenbaeva, Hu’rlixa and Djumabaev , Alpamis},
journal = {Techscience.uz - техника фанлари долзарб масалалри},
year = {2026},
volume = {4},
number = {5},
pages = {43-48},
doi = {10.47390/ts-v4i5y2026n07},
url = {https://doi.org/10.47390/ts-v4i5y2026n07}
} |
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