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Context-Based Rules for Grammatical Disambiguation in the Tatar Language

  • Ramil Gataullin
  • Bulat Khakimov
  • Dzhavdet Suleymanov
  • Rinat Gilmullin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10449)

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.

Keywords

Disambiguation Grammatical homonymy Context-based rules Linguistic software Turkic languages Corpus linguistics 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Applied Semiotics, TASKazanRussia
  2. 2.Kazan (Volga Region) Federal UniversityKazanRussia

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