Neural dependency parsing of uzbek texts based on the universal dependency treebank
Keywords:
Universal Dependency treebank, Uzbek languageAbstract
The Uzbek language is morphologically rich with numerous affixes, and meaning in sentences is expressed through various suffixes of nouns, verbs, and other parts of speech. In this article, we present a neural semantic analysis of Uzbek language texts based on a set of trees created using the Universal Dependencies (UD) corpus. This corpus contains 686 sentences and 7,950 tokens, with an average of 11.6 tokens per sentence. We construct a graph-based parser that employs a two-stage architecture - a BiLSTM-based contextual encoder combined with a biaffine function that integrates head and dependent projections.
References
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Copyright (c) 2025 Sanatbek Matlatipov, Xurshid Fayzullayev
This work is licensed under a Creative Commons Attribution 4.0 International License.
