Papers by Elmurod Kuriyozov
UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts (2024.lrec-main)
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| Challenge: | Verb detection is a fundamental task in natural language processing that involves identifying the action or state expressed by a verb in a sentence. |
| Approach: | They propose a rule-based approach for verb detection in Uzbek texts based on affixes/suffixed rules. |
| Outcome: | The proposed method outperforms existing methods on a dataset of Uzbek texts and has an F1 score of 0.97. |
Cross-Lingual Word Embeddings for Turkic Languages (2020.lrec-1)
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| Challenge: | Existing techniques to align monolingual embeddings are difficult to use because of low resources. |
| Approach: | They propose to use existing techniques to align monolingual embedding spaces for Turkic, Uzbek, Azeri, Kazakh and Kyrgyz languages. |
| Outcome: | The proposed techniques outperform existing techniques on bilingual dictionaries and an extrinsic task. |