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Context-Based Rules for Grammatical Disambiguation in the Tatar Language

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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

The paper is dedicated to the problem of grammatical ambiguity in the Tatar National Corpus and describes the methodology and software used for automation of the disambiguation process. Grammatical ambiguity is widely represented in agglutinative languages like Turkic or Finno-Ugric. Disambiguation in the corpus is based on the context-oriented classification of ambiguity types which has been carried out on corpus data in the Tatar language for the first time. In this study the corpus is used as a source for the research and at the same time as a destination for implementing the results. The grammatical ambiguity types are detected automatically using the finite-state morphological analyzer and then classified. In order to build up the grammatically disambiguated subcorpus, a special software module was developed. It searches for ambiguous tokens in the corpus, collects statistical information and allows creating and implementing the formal context-based disambiguation rules for different ambiguity types.

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References

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Author information

Authors and Affiliations

  1. Institute of Applied Semiotics, TAS, Kazan, Russia

    Ramil Gataullin, Bulat Khakimov, Dzhavdet Suleymanov & Rinat Gilmullin

  2. Kazan (Volga Region) Federal University, Kazan, Russia

    Bulat Khakimov & Dzhavdet Suleymanov

Authors
  1. Ramil Gataullin
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  2. Bulat Khakimov
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  3. Dzhavdet Suleymanov
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  4. Rinat Gilmullin
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Corresponding author

Correspondence to Bulat Khakimov .

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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Gataullin, R., Khakimov, B., Suleymanov, D., Gilmullin, R. (2017). Context-Based Rules for Grammatical Disambiguation in 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_51

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_51

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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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