TurkishLex:Development of a Context-Aware Spell Checker for Detecting and Correcting Spelling Errors in Turkish Texts

In Turkish, correct spelling correction is crucial for effective communication and preserving the integrity of written text. The challenge lies in the complexity of Turkish morphology and spelling, which can lead to frequent and diverse spelling errors. This study presents a spelling checker adapted...

Full description

Saved in:
Bibliographic Details
Main Authors: Pinar Savci, Bihter Daş
Format: Article
Language:English
Published: Sakarya University 2024-12-01
Series:Sakarya University Journal of Computer and Information Sciences
Subjects:
Online Access:https://dergipark.org.tr/en/download/article-file/4192659
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In Turkish, correct spelling correction is crucial for effective communication and preserving the integrity of written text. The challenge lies in the complexity of Turkish morphology and spelling, which can lead to frequent and diverse spelling errors. This study presents a spelling checker adapted for Turkish by creating a new Turkish dataset. The proposed spelling checker model effectively captures both minor and major textual changes and can detect the error. Our findings show that the proposed spelling checker system provides high accuracy and reliability with 98.21% accuracy performance with the Symspell module in correcting Turkish texts. This study provides valuable information about the strengths and weaknesses of existing spelling checkers and contributes to the improvement of spelling correction tools for Turkish.
ISSN:2636-8129