Сomparison of the morphological rules of the Kazakh and Turkish languages
DOI:
https://doi.org/10.26577/JMMCS-2018-4-562Keywords:
ontological models, morphological rules, lexical units, verb of the Kazakh and Turkish languagesAbstract
This article gives a detailed comparison of the verbs of Kazakh and Turkish. For this, ontological
models of morphological rules of verbs of Kazakh and Turkish languages are first constructed.
These ontological models formally and visually describe the properties and functions of the lexical
units used to form verbs in the specified languages, as well as the relationships between these
units. To denote grammatical categories and concepts in the proposed ontological models, the
terms from the unified metalanguage UniTurk are used. After constructing ontological models of
verbs of these languages, an algorithm was constructed to compare them. Using ontological models,
the morphological rules of the Turkic (Kazakh, Turkish) languages are formalized. The result of
these works can be used in the NLP applications, for example, for corpus tagging, in knowledge
extraction systems, information retrieval systems, machine translation, etc.
References
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[2] Lewis Geoffrey, Turkish Grammar: Oxford University Press, 2001.
[3] Sharipbay A. and Bekmanova G., “The synthesis of word forms of Turkic language using semantic neural networks”, “Modern problems of applied mathematics and information technologies: abstracts – Al Khorezmy” ” (2009), 145.
[4] Sharipbayev А. А. and Bekmanova G. T., “The building of logical semantics of the Kazakh words”, The materials of the all-Russian conference with International participations “Knowledge-Ontology-Theory” (ZONT-09) (Novosibirsk, 2009): 246-249.
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[9] Sulejmanov D.Sh., Nevzorova O.A, Gatiatullin A.R., Gilmullin R.A., Ayupov M.M., Pyatkin N.V., “The main components of the application of the grammatical model Tatar (In Russian)”, In Proc. Dialogue Conference, Computational linguistics and intelligent technologies (Russian State Humanitarian University, 2007): 525-530.
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[11] Sharipbayev, A., Bekmanova, G., Mukanova, A., Buribayeva, A., Yergesh, B., Kaliyev, A., “Semantic neural network model of morphological rules of the agglutinative languages” (paper presented at The 6th International Conference on Soft Computing and Intelligent Systems The 13th International Symposium on Advanced Intelligent Systems, Kobe, Japan, November 20-24, 2012): 1094-1099.
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[13] Mukanova, A., Yergesh, B., Bekmanova G., Razakhova, B., Sharipbay, A., “Formal models of Verbs in the Kazakh language”, Leonardo Electronic Journal of Practices and Technologies (2014): 264-273.
[14] Zetkenbay, L., Sharipbay, A., Bekmanova, G., Kamanur, U., “Ontological modeling of morphological rules for the adjectives in Kazakh and Turkish languages”, Journal of Theoretical and Applied Information Technology (2016): 257-263.
[15] Kamanur U., Sharipbay A., Altenbek G., Bekmanova G., Zhetkenbay L., “Investigation and use of methods for defining the extends of similarity of Kazakh language sentences”, (paper presented at The 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016): 153-161.
[16] Bekmanova G., Sharipbay A., Altnbek G., Adal? E., Zhetkenbay L., Kamanur U., Zulkhazhav A., “The uniform morphological analyzer for the Kazakh and Turkish languages”, (paper presented at Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 2017): 20-30.
[17] Sharipbay A., Mukanova A., Yergesh B., Zhetkenbay L., Zulkhazhav A., Yelibayeva G., “Ontology modeling of morphological rules of the Kazakh and Turkish languages”, (paper presented at the Abstract of the VI international conference «Modern problems of applied mathematics and information technology - al-Khorezmiy» 2018): 51-52.
[18] Tukeyev, U., Zhumanov, Zh., Rakhimova, D., Kartbayev, A. “Combinational Circuits Model of Kazakh and Russian Languages Morphology”, (paper presented at the Abstracts of International Conference «Computational and Informational Technologies in Science, Engineering and Education». – Almaty: Al-Farabi KazNU Press, 2015): 241-242.
[19] Kessikbayeva, G., Cicekli I., “Rule Based Morphological Analyzer of Kazakh Language”, Linguistics and Literature Studies (2016): 96-104,.
[20] Makhambetov O., Makazhanov A., Yessenbayev Zh., Sabyrgaliyev I., and Sharafudinov A. “Towards a data-driven morphological analysis of Kazakh language”, T¨urkiye bilisim vakfi Bilgisayar bilimleri ve m¨uhendisli˘gi dergisi. (2014): 69-74.
[21] Ery˘git, G., Adalı, E. “An affix stripping morphological analyzer for Turkish”, (paper presented at the In Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, 2004): 299-304.
[22] Hakkani-T¨ur, D. Z., Oflazer, K., T¨ur, G. “Statistical morphological disambiguation for agglutinative languages”, In Proceedings of COLING. ICCL, (Staarburken, Germany, 2000): 285-291.
[23] 23 Sak H., Gungor T., and Saraclar M. “A stochastic finite-state morphological parser for Turkish”, In Proceedings of the ACL-IJCNLP, (Stroudsburg, PA, USA, 2009): 273-276.
[24] Ilgen B., Adalı E., Tantu˘g A.C., “Exploring feature sets for Turkish word sense disambiguation”, Turkish Journal Of Electrical Engineering and Computer Sciences (2015). 4391-4405. doi:10.3906/elk-1408-77.
[25] Hankamer, J., “ Finite State Morphology and Left to Right Phonology”, (paper presented at the Proceedings of the West Coast Conference on Formal Linguistics Stanford University, 1986). 29-34.
[26] Gruber, T.R., “Toward Principles for the Design of Ontologies Used for Knowledge Sharing”, International Journal Human-Computer Studies (Vol. 43, Issues 5-6): 907–928.
[2] Lewis Geoffrey, Turkish Grammar: Oxford University Press, 2001.
[3] Sharipbay A. and Bekmanova G., “The synthesis of word forms of Turkic language using semantic neural networks”, “Modern problems of applied mathematics and information technologies: abstracts – Al Khorezmy” ” (2009), 145.
[4] Sharipbayev А. А. and Bekmanova G. T., “The building of logical semantics of the Kazakh words”, The materials of the all-Russian conference with International participations “Knowledge-Ontology-Theory” (ZONT-09) (Novosibirsk, 2009): 246-249.
[5] Altntas K. and Cicekli I., “A Morphological Analyser for Crimean Tatar”, Proceedings of the 10th Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN’2001), (North Cyprus, 2001):180-189.
[6] Tantu˘g, A. C. and Adalı, E. and Oflazer, K., “Computer Analysis of the Turkmen Language Morphology” Lecture Notes in Computer Science (Springer, 2006): 186-193.
[7] Orhun, M., Tantu˘g, A. C., Adalı, E., “Rule Based Analysis of the Uyghur Nouns”, International Journal of Assian
Language Processing, (2009):33-43.
[8] Orhun, M. and Tantu˘g A. and Adalı E., “Rule Based Tagging of the Uyghur Verbs”, Fourth International Conference on Intelligent Computing and Information Systems, Faculty of Computer and Information Science, Ain Shams University (Cairo, Egypt, 19-22 March , 2009).811-816.
[9] Sulejmanov D.Sh., Nevzorova O.A, Gatiatullin A.R., Gilmullin R.A., Ayupov M.M., Pyatkin N.V., “The main components of the application of the grammatical model Tatar (In Russian)”, In Proc. Dialogue Conference, Computational linguistics and intelligent technologies (Russian State Humanitarian University, 2007): 525-530.
[10] Bekmanova G. T., “Some approaches to the problems of automatic inflection and morphological analysis in the Kazakh language”, the newsletter of D. Serikbayev East Kazakhstan state technical university, ( Ust-Kamenogorsk, 2009): 192-197.
[11] Sharipbayev, A., Bekmanova, G., Mukanova, A., Buribayeva, A., Yergesh, B., Kaliyev, A., “Semantic neural network model of morphological rules of the agglutinative languages” (paper presented at The 6th International Conference on Soft Computing and Intelligent Systems The 13th International Symposium on Advanced Intelligent Systems, Kobe, Japan, November 20-24, 2012): 1094-1099.
[12] Yergesh, B., Mukanova, A., Bekmanova, G., Sharipbay, A., Razakhova, B., “Semantic hyper-graph based representation of Verbs in the Kazakh language”, Computacion y Sistemas (2014): 627-635.
[13] Mukanova, A., Yergesh, B., Bekmanova G., Razakhova, B., Sharipbay, A., “Formal models of Verbs in the Kazakh language”, Leonardo Electronic Journal of Practices and Technologies (2014): 264-273.
[14] Zetkenbay, L., Sharipbay, A., Bekmanova, G., Kamanur, U., “Ontological modeling of morphological rules for the adjectives in Kazakh and Turkish languages”, Journal of Theoretical and Applied Information Technology (2016): 257-263.
[15] Kamanur U., Sharipbay A., Altenbek G., Bekmanova G., Zhetkenbay L., “Investigation and use of methods for defining the extends of similarity of Kazakh language sentences”, (paper presented at The 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016): 153-161.
[16] Bekmanova G., Sharipbay A., Altnbek G., Adal? E., Zhetkenbay L., Kamanur U., Zulkhazhav A., “The uniform morphological analyzer for the Kazakh and Turkish languages”, (paper presented at Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 2017): 20-30.
[17] Sharipbay A., Mukanova A., Yergesh B., Zhetkenbay L., Zulkhazhav A., Yelibayeva G., “Ontology modeling of morphological rules of the Kazakh and Turkish languages”, (paper presented at the Abstract of the VI international conference «Modern problems of applied mathematics and information technology - al-Khorezmiy» 2018): 51-52.
[18] Tukeyev, U., Zhumanov, Zh., Rakhimova, D., Kartbayev, A. “Combinational Circuits Model of Kazakh and Russian Languages Morphology”, (paper presented at the Abstracts of International Conference «Computational and Informational Technologies in Science, Engineering and Education». – Almaty: Al-Farabi KazNU Press, 2015): 241-242.
[19] Kessikbayeva, G., Cicekli I., “Rule Based Morphological Analyzer of Kazakh Language”, Linguistics and Literature Studies (2016): 96-104,.
[20] Makhambetov O., Makazhanov A., Yessenbayev Zh., Sabyrgaliyev I., and Sharafudinov A. “Towards a data-driven morphological analysis of Kazakh language”, T¨urkiye bilisim vakfi Bilgisayar bilimleri ve m¨uhendisli˘gi dergisi. (2014): 69-74.
[21] Ery˘git, G., Adalı, E. “An affix stripping morphological analyzer for Turkish”, (paper presented at the In Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, 2004): 299-304.
[22] Hakkani-T¨ur, D. Z., Oflazer, K., T¨ur, G. “Statistical morphological disambiguation for agglutinative languages”, In Proceedings of COLING. ICCL, (Staarburken, Germany, 2000): 285-291.
[23] 23 Sak H., Gungor T., and Saraclar M. “A stochastic finite-state morphological parser for Turkish”, In Proceedings of the ACL-IJCNLP, (Stroudsburg, PA, USA, 2009): 273-276.
[24] Ilgen B., Adalı E., Tantu˘g A.C., “Exploring feature sets for Turkish word sense disambiguation”, Turkish Journal Of Electrical Engineering and Computer Sciences (2015). 4391-4405. doi:10.3906/elk-1408-77.
[25] Hankamer, J., “ Finite State Morphology and Left to Right Phonology”, (paper presented at the Proceedings of the West Coast Conference on Formal Linguistics Stanford University, 1986). 29-34.
[26] Gruber, T.R., “Toward Principles for the Design of Ontologies Used for Knowledge Sharing”, International Journal Human-Computer Studies (Vol. 43, Issues 5-6): 907–928.
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How to Cite
Zhetkenbay, L., Sharipbay, .A. A., Bekmanova, G. T., Kazhymukhan, D., & Kamanur, U. (2019). Сomparison of the morphological rules of the Kazakh and Turkish languages. Journal of Mathematics, Mechanics and Computer Science, 100(4), 42–51. https://doi.org/10.26577/JMMCS-2018-4-562
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