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← Ishga qaytish

Ushbu ish iqtibos qilgan ishlar

12 ta ish

Ish: A Feedforward Neural Model for Morphological Stemming of Uzbek Words

  1. MorphUz: Morphological Analyzer for the Uzbek Language

    Nilufar Abdurakhmonova, Ismailov Alisher, Rano Sayfulleyeva

    MaqolaNatural Language Processing Techniques2022 7th International Conference on Computer Science and Engineering (UBMK)202226 iqtibos
    ABI

  2. UzMorphAnalyser: A morphological analysis model for the Uzbek language using inflectional endings

    Ulugbek Salaev

    MaqolaOchiq kirishTranslation Studies and PracticesAIP conference proceedings202415 iqtibos
    ABI

  3. Design and Implementation of a Tool for Extracting Uzbek Syllables

    Ulugbek Salaev, Elmurod Kuriyozov, Gayrat Matlatipov

    MaqolaNatural Language Processing Techniques202311 iqtibos
    ABI

  4. The Problem of Pos Tagging and Stemming for Agglutinative Languages (Turkish, Uyghur, Uzbek Languages)

    Elov Botir Boltayevich, Eşref Adalı, Khamroeva Shahlo Mirdjonovna +3

    MaqolaNatural Language Processing Techniques20237 iqtibos
    ABI

  5. Morphological segmentation method for Turkic language neural machine translation

    Ualsher Tukeyev, Aidana Karibayeva, Zhandos Zhumanov

    Maqola20204 iqtibos
    ABI

  6. Morphological Analyzer for Agglutinative Languages Using Machine Learning Approaches

    M. Anand Kumar, Arun Kumar C, V. Dhanalakshmi +3

    Maqola20093 iqtibos
    ABI

  7. Building neural network models for morphological and morpheme analysis of texts

    Alexander S. Sapin

    Maqola20213 iqtibos
    ABI

  8. Morphological text analysis using neural networks

    A.N. Zhdanova, Alexander Kupriyanov, D.S. Sherenkov

    Maqola20223 iqtibos
    ABI

  9. A deep learning approach for Malayalam morphological analysis at character level

    B. Premjith, Soman K.P., M Anand Kumar

    Maqola20182 iqtibos
    ABI

  10. Deep Sentiment Analysis: A Case Study on Stemmed Turkish Twitter Data

    Harisu Abdullahi Shehu, Md. Haidar Sharif, Md Haris Uddin Sharif +5

    Maqola20212 iqtibos
    ABI

  11. Deep Learning with Word Embedding Improves Kazakh Named-Entity Recognition

    Gulizada Haisa, Gulila Altenbek

    Maqola20222 iqtibos
    ABI

  12. TurkishDelightNLP: A Neural Turkish NLP Toolkit

    Hüseyin Aleçakır, Necva Bölücü, Burcu Can

    Maqola20222 iqtibos
    ABI