Complex Search Queries in the Corpus Management System

  • Damir Mukhamedshin
  • Olga Nevzorova
  • Aidar Khusainov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10449)


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.



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


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Damir Mukhamedshin
    • 1
  • Olga Nevzorova
    • 1
  • Aidar Khusainov
    • 1
  1. 1.Institute of Applied SemioticsTatarstan Academy of SciencesKazanRussia

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