Abstract
Being an agglutinative language Kazakh imposes certain difficulties on both recognition of correct words and generation of candidate corrections for misspelled words. In this paper we describe a spelling correction method for Kazakh that takes advantage of both morphological analysis and noisy channel-based model. Our method outperforms both open source and commercial analogues in terms of the overall accuracy. We performed a comparative analysis of the spelling correction tools and pointed out some problems of spelling correction for agglutinative languages in general and for Kazakh in particular.
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Makazhanov, A., Makhambetov, O., Sabyrgaliyev, I., Yessenbayev, Z. (2014). Spelling Correction for Kazakh. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2014. Lecture Notes in Computer Science, vol 8404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54903-8_44
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DOI: https://doi.org/10.1007/978-3-642-54903-8_44
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