MODELING MORPHOLOGICAL ANALYSIS BASED ON WORD-ENDING FOR UZBEK LANGUAGE

Journal Title: International scientific journal Science and Innovation - Year 2023, Vol 2, Issue 11

Abstract

Uzbek, an agglutinative language, forms words by combining affixes with roots, utilizing inflectional endings for various morphological features. This property makes a large number of combinations of word ending, and greatly increases the word-vocabulary size, and data sparseness problems for statistical models. This paper discusses a morphological analyzing model which includes stemming, lemmatizing and extraction of morphological information considering morpho-phonetic exceptions. A main point of the model involves developing a complete set of word-ending with assign morphological information, and additional datasets for morphological analysis. The proposed model was evaluated using a curated test set comprising 5.3K words. It achieved a word-level accuracy over 91%, as determined through manual verification of stem, lemma, and morphological feature corrections conducted by linguistic experts. The created tool based on the proposed methodology is available as an open-source Python package, as well as a web-based application including a public API

Authors and Affiliations

Ulugbek Salaev

Keywords

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  • EP ID EP725418
  • DOI 10.5281/zenodo.10155225
  • Views 65
  • Downloads 0

How To Cite

Ulugbek Salaev (2023). MODELING MORPHOLOGICAL ANALYSIS BASED ON WORD-ENDING FOR UZBEK LANGUAGE. International scientific journal Science and Innovation, 2(11), -. https://europub.co.uk/articles/-A-725418