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Complex Search Queries in the Corpus Management System

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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 article discusses the advanced features of the newly developed search engine of the “Tugan tel” corpus management system. This corpus consists of texts written in the Tatar language. The new features include executing complex queries with arbitrary logical formulas for direct and reverse search; executing complex queries using a thesaurus or word form/lemma list and extracting some types of named entities.

Complex queries enable to automatically extract and annotate semantic data from a corpus for linguistic applications. These options improve the search process and also enable to test the lexicon and collocations in the corpus.

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References

  1. Aibaidulla, Y., Lua, K.T.: The development of tagged Uyghur corpus. In: Proceedings of PACLIC17, pp. 1–3 (2003)

    Google Scholar 

  2. Anthony, L.: AntConc: a learner and classroom friendly, multi-platform corpus analysis toolkit. In: Proceedings of IWLeL 2004: An Interactive Workshop on Language e-Learning, pp. 7–13 (2004)

    Google Scholar 

  3. Kilgarriff, A., Baisa, V., Bušta, J., Jakubíček, M., Kovář, V., Michelfeit, J., Suchomel, V.: The Sketch Engine: ten years on. Lexicography 1(1), 7–36 (2014)

    Article  Google Scholar 

  4. Křen, M.: Recent developments in the Czech National Corpus. In: Proceedings of the 3rd Workshop on Challenges in the Management of Large Corpora (CMLC-3), pp. 1–4 (2015)

    Google Scholar 

  5. Scott, M.: Wordsmith Tools. Oxford University Press, Oxford (1996)

    Google Scholar 

  6. Asahara, M., Maekawa, K., Imada, M., Kato, S., Konishi, H.: Archiving and analysing techniques of the ultra-large-scale web-based Corpus Project of NINJAL, Japan. Alexandria 25(1–2), 129–148 (2014)

    Article  Google Scholar 

  7. Kouklakis, G., Mikros, G., Markopoulos, G., Koutsis, I.: Corpus manager a tool for multilingual corpus analysis. In: Proceedings of Corpus Linguistics Conference 2007. http://www.birmingham.ac.uk/documents/college-artslaw/corpus/conference-archives/2007/244Paper.pdf

  8. Nevzorova, O., Mukhamedshin, D., Kurmanbakiev, M.: Semantic aspects of metadata representation in corpus manager system. In: Open Semantic Technologies for Intelligent Systems (OSTIS-2016), pp. 371–376 (2016)

    Google Scholar 

  9. Suleymanov, D., Nevzorova, O., Gatiatullin, A., Gilmullin, R., Hakimov, B.: National corpus of the Tatar language “Tugan Tel”: grammatical annotation and implementation. Proc. Soc. Behav. Sci. 95, 68–74 (2013)

    Article  Google Scholar 

  10. Zakharov, V.: Corpora of the Russian language. In: Habernal, I., Matoušek, V. (eds.) TSD 2013. LNCS, vol. 8082, pp. 1–13. Springer, Heidelberg (2013). doi:10.1007/978-3-642-40585-3_1

    Chapter  Google Scholar 

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Acknowledgment

The reported study was funded by Russian Science Foundation (research project № 16-18-02074).

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Authors and Affiliations

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

    Damir Mukhamedshin, Olga Nevzorova & Aidar Khusainov

Authors
  1. Damir Mukhamedshin
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  2. Olga Nevzorova
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  3. Aidar Khusainov
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Corresponding author

Correspondence to Damir Mukhamedshin .

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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Mukhamedshin, D., Nevzorova, O., Khusainov, A. (2017). Complex Search Queries in the Corpus Management System. 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_39

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_39

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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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