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Combined Technology of Lexical Selection in Rule-Based Machine Translation

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Computational Collective Intelligence (ICCCI 2017)

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

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Abstract

This paper describes process of solving the task of lexical selection for English-Kazakh (and vice versa) machine translation system based on combined technology. Proposed combined technology is including the constraint grammar model and maximum entropy model for more effective solution of the problem of lexical selection for English-Kazakh (and vice-versa) language pair. Results are presented by comparing two technologies separately and together in Apertium English-Kazakh (and vice versa) system.

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References

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Authors and Affiliations

  1. Information Systems Department, Al-Farabi Kazakh National University, Al-Farabi av., 71, 050040, Almaty, Kazakhstan

    Ualsher Tukeyev, Dina Amirova, Aidana Karibayeva, Aida Sundetova & Balzhan Abduali

Authors
  1. Ualsher Tukeyev
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  2. Dina Amirova
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  3. Aidana Karibayeva
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  4. Aida Sundetova
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  5. Balzhan Abduali
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Corresponding author

Correspondence to Ualsher Tukeyev .

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

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Tukeyev, U., Amirova, D., Karibayeva, A., Sundetova, A., Abduali, B. (2017). Combined Technology of Lexical Selection in Rule-Based Machine Translation. 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_47

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67076-8

  • Online ISBN: 978-3-319-67077-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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