AI TECHNOLOGIES FOR ASSESSING STUDENTS' PRONUNCIATION
| dc.contributor.author | Olimova Shakhlobonu Khurshedjonovna | |
| dc.date.accessioned | 2025-12-29T18:48:43Z | |
| dc.date.issued | 2025-02-12 | |
| dc.description.abstract | The advancement of artificial intelligence (AI) has significantly impacted language learning, particularly in the assessment of students' pronunciation. This paper explores various AI-driven technologies used for evaluating pronunciation accuracy, fluency, and intelligibility in second-language learners. It also discusses the advantages and limitations of AI-based pronunciation assessment compared to traditional methods | |
| dc.format | application/pdf | |
| dc.identifier.uri | https://webofjournals.com/index.php/9/article/view/3275 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/26317 | |
| dc.language.iso | eng | |
| dc.publisher | Web of Journals Publishing | |
| dc.relation | https://webofjournals.com/index.php/9/article/view/3275/3234 | |
| dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.source | Web of Humanities: Journal of Social Science and Humanitarian Research; Vol. 3 No. 2 (2025): WOH; 163-167 | |
| dc.source | 2938-3803 | |
| dc.subject | Artificial intelligence, pronunciation assessment, speech recognition, machine learning, deep learning, language learning, phonetic analysis, neural networks. | |
| dc.title | AI TECHNOLOGIES FOR ASSESSING STUDENTS' PRONUNCIATION | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
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