Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Developing NLP Tool for Linguistic Analysis of Turkic Languages. / Abdurakhmonova, Nilufar Z.; Ismailov, Alisher S.; Mengliev, Davlatyor.
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers (IEEE), 2022. стр. 1790-1793.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Developing NLP Tool for Linguistic Analysis of Turkic Languages
AU - Abdurakhmonova, Nilufar Z.
AU - Ismailov, Alisher S.
AU - Mengliev, Davlatyor
PY - 2022
Y1 - 2022
N2 - Today we see the active development of natural language processing technologies, including the morphological analysis of word forms. In this context, the development of more universal (general) algorithms that we can work with several languages at once is of particular relevance. As a result, algorithms that can reliably process texts of one family will be much more popular than those that can work with only one language. In our work, we presented a flexible tool for working with Turkic languages, in particular, for the morphological analysis of words. As is known, the Turkic-speaking languages belong to agglutinative languages, which, in turn, are formed by the concatenation of morphemes. It follows from this that by means of various combinations of affixes it is possible to construct a huge number of words in each of the languages of this family. Our tool allowed to carry out morphological analysis for almost all Turkic languages.
AB - Today we see the active development of natural language processing technologies, including the morphological analysis of word forms. In this context, the development of more universal (general) algorithms that we can work with several languages at once is of particular relevance. As a result, algorithms that can reliably process texts of one family will be much more popular than those that can work with only one language. In our work, we presented a flexible tool for working with Turkic languages, in particular, for the morphological analysis of words. As is known, the Turkic-speaking languages belong to agglutinative languages, which, in turn, are formed by the concatenation of morphemes. It follows from this that by means of various combinations of affixes it is possible to construct a huge number of words in each of the languages of this family. Our tool allowed to carry out morphological analysis for almost all Turkic languages.
UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85147521394&partnerID=40&md5=a37e38f55c17a28513cd2f1f4ee88ddc
UR - https://www.mendeley.com/catalogue/74eca46e-805b-3fe4-91a8-50770fe2c7bb/
U2 - 10.1109/sibircon56155.2022.10017049
DO - 10.1109/sibircon56155.2022.10017049
M3 - Conference contribution
SN - 9781665464802
SP - 1790
EP - 1793
BT - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022
Y2 - 11 November 2022 through 13 November 2022
ER -
ID: 45970327