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An Iterative Approach to the Terminology Extraction from Ukrainian-Language Scientific Text Corpora

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Cybernetics and Systems Analysis Aims and scope

Abstract

This article describes a combined method for the acquisition of valuable terms and relations from raw texts with the help of an iterative algorithm for automated terminology extraction from Ukrainian-language scientific texts. Special attention is paid to the analysis of lexicographical features of characteristic text fragments of documents. Specific features of Ukrainian-language documents are taken into account. The emphasis is on solving the applied problem of terminology acquisition from input texts in the widely used pdf format with obtaining output term relations in the RDF format.

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Authors and Affiliations

  1. National University of Kyiv-Mohyla Academy, Kyiv, Ukraine

    A. M. Glybovets & I. V. Reshetnov

Authors
  1. A. M. Glybovets
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  2. I. V. Reshetnov
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Correspondence to A. M. Glybovets.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 53–62, November–December, 2014.

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Glybovets, A.M., Reshetnov, I.V. An Iterative Approach to the Terminology Extraction from Ukrainian-Language Scientific Text Corpora. Cybern Syst Anal 50, 866–873 (2014). https://doi.org/10.1007/s10559-014-9677-6

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  • DOI: https://doi.org/10.1007/s10559-014-9677-6

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