Skip to main content
SpringerLink
Log in

Predictive Text Typing System for the Ukrainian Language

  • CYBERNETICS
  • Published:
Cybernetics and Systems Analysis Aims and scope

Abstract

This paper investigates the intellectualization of text input using a system for accelerated input of texts into digital devices with a view to constructing a model of a corpus of the Ukrainian spoken language and a text typing system based on this model. Such a system uses a smaller number of commands to input letters and predicts variants of words on the basis of the corpus of words and word combinations for communication. It is experimentally shown that the input of texts using four and six command keys is rather efficient for the constructed corpus.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Augmentative and Alternative Communication (AAC). URL: http://www.asha.org/public/speech/disorders/AAC/.

  2. Iu. G. Kryvonos, Iu. V. Krak, O. V. Barmak, and R. O. Bagriy, “New tools of alternative communication for persons with verbal communication disorders,” Cybernetics and Systems Analysis, Vol. 52, No. 5, 3–13 (2016)

    Article  MathSciNet  Google Scholar 

  3. Iu. V. Krak, O. V. Barmak, R. O. Bagriy and I. O. Stelya, “Text entry system for alternative speech communication,” Journal of Automation and Information Sciences, Vol. 49, No. 1, 65–75 (2017).

    Article  Google Scholar 

  4. O. Demska-Kulchytska, “National corpus of the Ukrainian language: The conceptual aspect,” in: Lexicographic Newsletter, Issue 13, NASU Institute of the Ukrainian language, Kyiv (2006), pp. 5–9.

  5. N. M. Sidorchuk, “Data organization and functional structure of the lexicographical system ‘Ukrainian national linguistic corpus’,” Mathematical Machines and Systems, No. 2, 126–135 (2006).

  6. N. Darchuk, “The corpus of the Ukrainian language: Principles and perspectives,” Bulletin of Taras Shevchenko University of Kyiv, Issue 21, 45–49 (2010).

  7. D. Jurafsky and J. H. Martin, Speech and Language Processing, 2nd ed., Prentice Hall, New Jersey (2008).

    Google Scholar 

  8. S. Bird, E. Klein, and E. Loper, Natural Language Processing with Python, O’Reilly Media, Sebastopol, CA (USA) (2009).

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Iu. G. Kryvonos

  2. Taras Shevchenko National University of Kyiv and V. M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Iu. V. Krak

  3. Khmelnytsky National University, Khmelnytsky, Ukraine

    O. V. Barmak & R. O. Bagriy

Authors
  1. Iu. G. Kryvonos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Iu. V. Krak
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. O. V. Barmak
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. O. Bagriy
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 4, July–August, 2017, pp. 3–11.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kryvonos, I.G., Krak, I.V., Barmak, O.V. et al. Predictive Text Typing System for the Ukrainian Language. Cybern Syst Anal 53, 495–502 (2017). https://doi.org/10.1007/s10559-017-9951-5

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10559-017-9951-5

Keywords

Search

Navigation