Detecting spelling errors in Vietnamese administrative document using large language models
In the context of the emergence of more and more administrative documents, the need to ensure accuracy and improve the quality of these documents becomes increasingly important. This research focuses on applying advanced language models to detect spelling errors in administrative documents. Specific...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE
2024-03-01
|
| Series: | Ho Chi Minh City Open University Journal of Science - Engineering and Technology |
| Subjects: | |
| Online Access: | https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/3141 |
| _version_ | 1797248779423842304 |
|---|---|
| author | Huan The Phung Nghia Van Luong |
| author_facet | Huan The Phung Nghia Van Luong |
| author_sort | Huan The Phung |
| collection | DOAJ |
| description | In the context of the emergence of more and more administrative documents, the need to ensure accuracy and improve the quality of these documents becomes increasingly important. This research focuses on applying advanced language models to detect spelling errors in administrative documents. Specifically, in this study, a new method using a language model based on the Transformers architecture is proposed to automatically detect and correct common spelling errors in administrative documents. This method combines the model’s ability to understand context and grammar to identify words or phrases that are likely to be misspelled. The proposed method is tested on a dataset containing real administrative documents, and the experimental results show that the proposed model is capable of detecting spelling errors with significant performance, helping to improve accuracy. and improve the quality of administrative documents. This research not only contributes to improving the quality of administrative documents but also opens up new research directions in applying language models to issues related to natural language processing in the field of administration. |
| first_indexed | 2024-04-24T20:20:01Z |
| format | Article |
| id | doaj.art-df5114c976a849428bd7bb362b656300 |
| institution | Directory Open Access Journal |
| issn | 2734-9330 2734-9608 |
| language | English |
| last_indexed | 2024-04-24T20:20:01Z |
| publishDate | 2024-03-01 |
| publisher | HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE |
| record_format | Article |
| series | Ho Chi Minh City Open University Journal of Science - Engineering and Technology |
| spelling | doaj.art-df5114c976a849428bd7bb362b6563002024-03-22T08:56:27ZengHO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCEHo Chi Minh City Open University Journal of Science - Engineering and Technology2734-93302734-96082024-03-01141314010.46223/HCMCOUJS.tech.en.14.1.3141.20242056Detecting spelling errors in Vietnamese administrative document using large language modelsHuan The Phung0Nghia Van Luong1Thai Nguyen University of Information and Communication Technology, Thai NguyenPham Van Dong University, Quang NgaiIn the context of the emergence of more and more administrative documents, the need to ensure accuracy and improve the quality of these documents becomes increasingly important. This research focuses on applying advanced language models to detect spelling errors in administrative documents. Specifically, in this study, a new method using a language model based on the Transformers architecture is proposed to automatically detect and correct common spelling errors in administrative documents. This method combines the model’s ability to understand context and grammar to identify words or phrases that are likely to be misspelled. The proposed method is tested on a dataset containing real administrative documents, and the experimental results show that the proposed model is capable of detecting spelling errors with significant performance, helping to improve accuracy. and improve the quality of administrative documents. This research not only contributes to improving the quality of administrative documents but also opens up new research directions in applying language models to issues related to natural language processing in the field of administration.https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/3141administrative documentsdetect spelling errorslanguage modelnatural language processing |
| spellingShingle | Huan The Phung Nghia Van Luong Detecting spelling errors in Vietnamese administrative document using large language models Ho Chi Minh City Open University Journal of Science - Engineering and Technology administrative documents detect spelling errors language model natural language processing |
| title | Detecting spelling errors in Vietnamese administrative document using large language models |
| title_full | Detecting spelling errors in Vietnamese administrative document using large language models |
| title_fullStr | Detecting spelling errors in Vietnamese administrative document using large language models |
| title_full_unstemmed | Detecting spelling errors in Vietnamese administrative document using large language models |
| title_short | Detecting spelling errors in Vietnamese administrative document using large language models |
| title_sort | detecting spelling errors in vietnamese administrative document using large language models |
| topic | administrative documents detect spelling errors language model natural language processing |
| url | https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/3141 |
| work_keys_str_mv | AT huanthephung detectingspellingerrorsinvietnameseadministrativedocumentusinglargelanguagemodels AT nghiavanluong detectingspellingerrorsinvietnameseadministrativedocumentusinglargelanguagemodels |