Context based automatic spelling correction for Turkish

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Authors
Bolucu, Necva
Can, Burcu
Issue Date
2019-06-20

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Other Titles
Türkçe için Ba˘glam Tabanlı Otomatik Yazım Düzeltme
Abstract
Spelling errors are one of the crucial problems to be addressed in Natural Language Processing tasks. In this study, a context-based automatic spell correction method for Turkish texts is presented. The method combines the Noisy Channel Model with Hidden Markov Models to correct a given word. This study deviates from the other studies by also considering the contextual information of the word within the sentence. The proposed method is aimed to be integrated to other word-based spelling correction models.
Citation
Bölücü, N. and Can, B. (2019) Context based automatic spelling correction for Turkish, 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), 24-26 April 2019, Istanbul, Turkey.
Publisher
IEEE
URI
http://hdl.handle.net/2436/623732
DOI
10.1109/ebbt.2019.8742067
Additional Links
https://ieeexplore.ieee.org/document/8742067
Type
Conference contribution
Language
other
Description
This is an accepted manuscript of an article published by IEEE in 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT) on 20/06/2019, available online: https://ieeexplore.ieee.org/document/8742067 The accepted version of the publication may differ from the final published version.
ISBN
9781728110134
Collections
https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/