Bolucu, NecvaCan, Burcu2020-10-222020-10-222019-06-20Bölücü, 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.978172811013410.1109/ebbt.2019.8742067http://hdl.handle.net/2436/623732This 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.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.application/pdfotherhidden Markov models (HMM)Viterbi algorithmMarkov processesnoise measurementchannel modelscomputational modelingConference contribution2020-10-09