AUTOMATIC ERROR CORRECTION: EVALUATING PERFORMANCE OF SPELL CHECKER TOOLS
| dc.contributor.author | Tolegenova A. | |
| dc.date.accessioned | 2023-12-26T03:58:16Z | |
| dc.date.available | 2023-12-26T03:58:16Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Abstract. Spell checking is the task of detecting and correcting spelling errors in text and is one of the most sought-after processes in NLP. There are many open-source toolkits for checking and correcting errors in the text. To test how effective these tools are, in this article I have presented an evaluation of three types of tools as NeuSpell, SymSpell and Hunspell. SymSpell showed a high speed of 2480, this is an indicator of how fast it works than others. And NeuSpell achieved the lowest error rate of 0.80%. The results show the disadvantages and advantages of all algorithms, and that there is still room for improvement. | |
| dc.identifier.citation | A. Tolegenova / AUTOMATIC ERROR CORRECTION: EVALUATING PERFORMANCE OF SPELL CHECKER TOOLS / СДУ хабаршысы - 2021 | |
| dc.identifier.issn | 2709-2631 | |
| dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/1044 | |
| dc.language.iso | en | |
| dc.publisher | СДУ хабаршысы - 2021 | |
| dc.subject | NLP | |
| dc.subject | open-source tools | |
| dc.subject | spell checking | |
| dc.subject | detect | |
| dc.subject | correct | |
| dc.subject | СДУ хабаршысы - 2021 | |
| dc.subject | №1 | |
| dc.title | AUTOMATIC ERROR CORRECTION: EVALUATING PERFORMANCE OF SPELL CHECKER TOOLS | |
| dc.type | Article |