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Method of Sentiment Preservation in the Kazakh-Turkish Machine Translation

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

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Abstract

This paper describes characteristics which affect the sentiment analysis in the Kazakh language texts, models of morphological rules and morphological analysis algorithms, formal models of simple sentence structures in the Kazakh-Turkish combination, models and methods of sentiment analysis of texts in the Kazakh language. The studies carried out to compare the morphological and syntactic rules of the Kazakh and Turkish languages prove their closeness by structure. In this respect, we can assume that taking into account sentiment in machine translation for these combinations of languages will give a good result at preserving the text meaning.

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Acknowledgments

The work was supported by the grant financing for scientific and technical programs and projects by the Ministry of Science and Education of the Republic of Kazakhstan (Grant No. AP05132249, 2018–2020).

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Authors and Affiliations

  1. L.N. Gumilyov, Eurasian National University, Nur-Sultan, Kazakhstan

    Lena Zhetkenbay, Gulmira Bekmanova, Banu Yergesh & Altynbek Sharipbay

  2. Nuclear University MEPhI, Moscow, Russia

    Gulmira Bekmanova & Altynbek Sharipbay

Authors
  1. Lena Zhetkenbay
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  2. Gulmira Bekmanova
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  3. Banu Yergesh
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  4. Altynbek Sharipbay
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Corresponding author

Correspondence to Gulmira Bekmanova .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Zhetkenbay, L., Bekmanova, G., Yergesh, B., Sharipbay, A. (2020). Method of Sentiment Preservation in the Kazakh-Turkish Machine Translation. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12250. Springer, Cham. https://doi.org/10.1007/978-3-030-58802-1_38

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  • DOI: https://doi.org/10.1007/978-3-030-58802-1_38

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