Skip to main content
SpringerLink
Log in

Morphological Analysis System of the Tatar Language

  • Conference paper
  • First Online:
Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10449))

Included in the following conference series:

Abstract

This paper presents the description of the morphological analysis system for the Tatar Language based on a two-level morphology model. The morphological system is used for grammatical annotation of the Tatar national corpus. This paper shows the results of evaluation of completeness of the system using statistical information that was obtained from the corpus data and describes the ways to improve this system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Oflazer, K.: Two-level description of Turkish morphology. Lit. Linguist. Comput. 9(2), 137–148 (1994)

    Article  Google Scholar 

  2. Altintas K., Cicekli I.: A morphological analyzer for Crimean Tatar. In: Proceedings of the 10th Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN’2001), pp. 180–189 (2001)

    Google Scholar 

  3. Çöltekin, Ç.: A set of open source tools for Turkish natural language processing. In: Calzolari, N. et al. (eds.) Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014), pp. 1079–1086 (2014)

    Google Scholar 

  4. Kessikbayeva, G., Cicekli, I.: Rule based morphological analyzer of Kazakh language. In: Proceedings of the 2014 Joint Meeting of SIGMORPHON and SIGFSM, pp. 46–54. ACL, Baltimore, June 2014

    Google Scholar 

  5. Tantug, C., Adali, E., Oflazer, K.: Computer analysis of the Turkmen language morphology. In: 5th International Conference on NLP (FinTAL 2006), Turku, pp. 186–193 (2006)

    Chapter  Google Scholar 

  6. Orhun, M., Tantug, C., Adali, E.: Rule based analysis of the Uyghur Nouns. Int. J. Asian Lang. Proc. 19(1), 33–44 (2009)

    Google Scholar 

  7. Suleymanov, D.S., Gilmullin, R.A.: Dvukhurovnevoye opisaniye morfologii tatarskogo yazyka [Two-level description of the Tatar language morphology]. In: Proceedings of “Language Semantics and Image of the World” International Scientific Conference, vol. 2, pp. 65–67. Kazan State University, Kazan (1997, in Russian)

    Google Scholar 

  8. Gökgöz, E., et al.: Two-level Qazan Tatar morphology. In: Proceedings of the 1-st International Conference on Foreign Language Teaching and Applied Linguistics, Sarajevo, 5–7 May 2011, pp. 428–432 (2011)

    Google Scholar 

  9. Davliyeva, A.R.: An investigation of Kazan Tatar morphology. Doctoral Dissertation, San Diego State University (2011)

    Google Scholar 

  10. HFST. https://kitwiki.csc.fi/twiki/bin/view/KitWiki/HfstHome

  11. Tatar Nacional Corpus. http://tugantel.tatar/?lang=en

  12. Socio-Political Corpus of the Tatar language. http://tugantel.tatar/corpus/op/

  13. Lewis, M.P., Simons, G.F., Fennig, C.D. (eds.): Ethnologue: Languages of the World, 19th edn. SIL International, Dallas. Online version: http://www.ethnologue.com (2016)

  14. Berment, V.: Méthodes pour informatiser des langues et des groups de langues peu dotées. Ph.D. Thesis, Joseph Fourier University, Grenoble I (2004)

    Google Scholar 

  15. Krauwer, S.: The basic language resource kit (BLARK) as the first milestone for the language resources roadmap. In: Proceedings of International Workshop Speech and Computer SPEECOM, Moscow, pp. 8–15 (2003)

    Google Scholar 

  16. Yandex Translate: Online version: https://translate.yandex.com/translator/Russian-Tatar

  17. Suleymnov, D., Gatiatullin, A., Gilmullin, R.: Lexicograficheskaya baza dannykh dlya system mashinnogo perevoda blizkorodstvennykh yazykov. In: Proceedings of Third International Conference «Informatizatciya obschestva», pp. 585–587. Astana, Kazakhstan (2012)

    Google Scholar 

  18. Khusainov, A.F., Suleymanov, D.S.: Language identification system for the tatar language. In: Železný M., Habernal I., Ronzhin A. (eds.) SPECOM 2013. LNCS, vol. 8113, pp. 203–210. Springer, Cham (2013). doi:10.1007/978-3-319-01931-4_27

    Chapter  Google Scholar 

  19. Beesley, R.K., Karttunen, L.: Finite State Morphology. CSLI Publications, Stanford (2003)

    Google Scholar 

  20. Gilmullin, R.: Matematicheskoye modelirovaniye v mnogoyazykovykh sistemakh obrabotki dannykh na osnove avtomatov konechnykh sostoyaniy, pp. 48–94. Ph.D. Thesis, Kazan (2009)

    Google Scholar 

  21. Sokolov, A., Egorov, A., Gubanov, S., Khrystich, D., Shmatova, M., Galinskaya, I., Baytin, A.: Eksperimental’naya versiya tatarsko-russkogo statisticheskogo mashinnogo perevoda. In: Proceedings of the International Conference “Turkic Language Processing: Turklang-2015”, pp. 67–76. Academy of Science of the Republic of Tatarstan Press, Kazan (2015)

    Google Scholar 

Download references

Acknowledgements

The reported study was funded by Russian Science Foundation, research Project № 16-18-02074.

Author information

Authors and Affiliations

  1. Institute of Applied Semiotics, Tatarstan Academy of Sciences, Kazan, Russia

    Rinat Gilmullin & Ramil Gataullin

Authors
  1. Rinat Gilmullin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ramil Gataullin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rinat Gilmullin .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Gilmullin, R., Gataullin, R. (2017). Morphological Analysis System of the Tatar Language. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67077-5_50

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67076-8

  • Online ISBN: 978-3-319-67077-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation