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Using Statistical Search to Discover Semantic Relations of Political Lexica – Evidences from Bulgarian-Slovak EUROPARL 7 Corpus

  • Velislava StoykovaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9582)

Abstract

The paper presents statistical approach to discover semantic relations of political lexica using parallel Bulgarian-Slovak EUROPARL 7 Corpus. It employs statistical properties incorporated in the Sketch Engine software to generate concordances, co-occurrences and collocations. A comparative analysis of semantic structure of political lexica investigating synonymic, attributive and reciprocal semantic relations of most frequent key words from two parallel corpora – for both Bulgarian and Slovak languages is offered. The paper address some issue related to correct terms discovery, their translations and use in political speech. Finally, more general conclusions about semantic properties of political lexica are presented.

Keywords

Data mining Combinatorics on words Machine translation 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Institute for Bulgarian Language - BASSofiaBulgaria

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