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Algorithm of Building a Matrix Semantic-Syntactic Representation of a Natural Language Text

  • Vladimir A. Fomichov
Chapter
Part of the IFSR International Series on Systems Science and Engineering book series (IFSR, volume 27)

Abstract

This chapter sets forth an original algorithm of constructing a matrix semantic-syntactic representation of a natural language text. This algorithm, called BuildMatr1, is multilingual: the input texts (the statements, commands, and questions) may belong to the sublanguages of English, German, and Russian languages (a Latin transcription of Russian texts is considered). A pure syntactic representation of an analyzed text isn’t used: the proposed algorithm is oriented at directly finding the conceptual relations between the meanings of the fragments of an NL-text.

Keywords

Verbal Form Semantic Relationship Input Text Thematic Role Interrogative Word 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Innovations and Business in the Sphere of Informational TechnologiesState University – Higher School of EconomicsMoscowRussia

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