Работы, на которые ссылается эта работа

Работ: 13

Работа: Designing Processes and Models of Semantical Differentiation for Polyfunctional Words in the Uzbek Contexts

1. MorphUz: Morphological Analyzer for the Uzbek Language

   Nilufar Abdurakhmonova, Ismailov Alisher, Rano Sayfulleyeva

   СтатьяNatural Language Processing Techniques2022 7th International Conference on Computer Science and Engineering (UBMK)2022Цитирований: 17

   ABIABI:AkademIndex/openalex/2026.other.125770

2. Developing NLP Tool for Linguistic Analysis of Turkic Languages

   Nilufar Abdurakhmonova, A. Ismailov, Davlatyor Mengliev

   СтатьяNatural Language Processing Techniques2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)2022Цитирований: 14

   ABIABI:AkademIndex/openalex/2026.other.119567

3. Linguistic functionality of Uzbek Electron Corpus: uzbekcorpus.uz

   Nilufar Abdurakhmonova, Ulugbek Tuliyev, Ayrat Gatiatullin

   СтатьяNatural Language Processing Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 8

   ABIABI:AkademIndex/openalex/2021.article.000490

4. Applying Web Crawler Technologies for Compiling Parallel Corpora as one Stage of Natural Language Processing

   Nilufar Abdurakhmonova, Ismailov Alisher, Guli Toirova

   СтатьяWeb Data Mining and Analysis2022 7th International Conference on Computer Science and Engineering (UBMK)2022Цитирований: 6

   ABIABI:AkademIndex/openalex/2022.article.000643

5. Combination of information retrieval methods with LESK algorithm for Arabic word sense disambiguation

   Anis Zouaghi, Laroussi Merhbene, Mounir Zrigui

   Статья2011Цитирований: 4

   ABIABI:AkademIndex/openalex/2026.other.317057

6. Word Sense Disambiguation (WSD) for Indonesian Homograph Word Meaning Determination by LESK Algorithm Application

   Setio Basuki, Ali Sofyan Kholimi, Agus Eko Minarno +2

   Статья2019Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.317059

7. Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm

   Praffullit Tripathi, Prasenjit Mukherjee, Manik Hendre +2

   Статья2021Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.317060

8. Word Sense Disambiguation Using Clustered Sense Labels

   Jeong Yeon Park, Hyeong Jin Shin, Jae Sung Lee

   Статья2022Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.317061

9. Business Process Modeling That Distinguishes Homonymy Within Three Parts of Speechs in The Uzbek Language

   Elov Botir Boltayevich, Axmedova Xolisxon Ilxomovna

   СтатьяEducation, Innovation and Language Studies2022 7th International Conference on Computer Science and Engineering (UBMK)2022Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.317062

10. Using machine learning to disentangle homonyms in large text corpora

    Uri Roll, Ricardo A. Correia, Oded Berger‐Tal

    Статья2017Цитирований: 2

    ABIABI:AkademIndex/openalex/2026.other.452054

11. MATHEMATICAL MODELS DETERMINING HOMONY BETWEEN DIFFERENT WORD GROUPS

    X.Axmedova

    Статья2022Цитирований: 2

    ABIABI:AkademIndex/openalex/2026.other.452055

12. Lists of Uzbek Stopwords

    Khabibulla Madatov, Shukurla Bekchanov, Jernej Vičič

    ДругоеChina's Ethnic Minorities and RelationsZenodo (CERN European Organization for Nuclear Research)2021Цитирований: 2

    ABIABI:AkademIndex/openalex/2026.other.452057

13. SO‘Z MA’NOSINI ANIQLASHDA NAIVE BAYES ALGORITMIDAN FOYDALANISH

    B. B. Elov, H. I. Akhmedova

    СтатьяEducation, Innovation and Language StudiesJournal of science and innovative development2023Цитирований: 1

    ABIABI:AkademIndex/openalex/2026.other.452056