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. © 2014 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Makazhanov, A., Makhambetov, O., Sabyrgaliyev, I., & Yessenbayev, Z. (2014). Spelling correction for kazakh. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8404 LNCS, pp. 533–541). Springer Verlag. https://doi.org/10.1007/978-3-642-54903-8_44
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