Spelling correction for kazakh

Aibek Makazhanov, Olzhas Makhambetov, Islam Sabyrgaliyev, Zhandos Yessenbayev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationComputational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings
PublisherSpringer Verlag
Pages533-541
Number of pages9
EditionPART 2
ISBN (Print)9783642549021
DOIs
Publication statusPublished - Jan 1 2014
Event15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014 - Kathmandu, Nepal
Duration: Apr 6 2014Apr 12 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8404 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014
CountryNepal
CityKathmandu
Period4/6/144/12/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Makazhanov, A., Makhambetov, O., Sabyrgaliyev, I., & Yessenbayev, Z. (2014). Spelling correction for kazakh. In Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings (PART 2 ed., pp. 533-541). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8404 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-642-54903-8_44