Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107979
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Chinese and Bilingual Studies | - |
| dc.creator | Maeng, J | - |
| dc.creator | Gu, J | - |
| dc.creator | Kim, SA | - |
| dc.date.accessioned | 2024-07-22T07:30:46Z | - |
| dc.date.available | 2024-07-22T07:30:46Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/107979 | - |
| dc.description | Pacific Asia Conference on Language, Information and Computation (PACLIC 37), Hong Kong, December 2-5, 2023 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Association for Computational Linguistics | en_US |
| dc.rights | ACL materials are Copyright © 1963–2024 ACL; other materials are copyrighted by their respective copyright holders. | en_US |
| dc.rights | Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/) | en_US |
| dc.rights | The following publication Maeng, J., Gu, J., & Kim, S. A. (2023, December). Effectiveness of ChatGPT in Korean Grammatical Error Correction. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (pp. 464-472) is available at https://aclanthology.org/2023.paclic-1.46. | en_US |
| dc.title | Effectiveness of ChatGPT in Korean grammatical error correction | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.spage | 464 | - |
| dc.identifier.epage | 472 | - |
| dcterms.abstract | As the first study in applying ChatGPT to L2 Korean grammar correction and learning, this study investigates the effectiveness of ChatGPT models as tools for Korean Grammatical Error Correction (GEC). The model comparison revealed that ChatGPT 4 outperforms ChatGPT 3.5 and the baseline model in all measures related to the precision of error detection and correction. Furthermore, a human evaluation shows that ChatGPT 4 outperforms its previous version in handling multiple grammatical errors and correcting semantic-level mistakes. The findings of the present study suggest that ChatGPT 4 as a self-learning tool would be more suitable for advanced to near-native level L2 learners of Korean to improve their semantic fluency of sentences with minimal errors than for less proficient L2 learners because the latest version of ChatGPT 4 still demonstrates a relatively lower accuracy rate in Korean GEC tasks. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, p. 464-472 | - |
| dcterms.issued | 2023 | - |
| dc.relation.conference | Pacific Asia Conference on Language, Information and Computation [PACLIC] | - |
| dc.description.validate | 202407 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | a3068a | en_US |
| dc.identifier.SubFormID | 49352 | en_US |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023.paclic-1.46.pdf | 483.09 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.