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Vol.1, Issue 2, 2015, pp. 5-26 Full text

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Web of Science: 000449158800001

Elena Tarasheva

New Bulgarian University, Sofia, Bulgaria

The article reports research on the concept of key words as statistically significant items in a text or corpus. It reviews approaches to eliciting key words used in various software products for language analysis and the rationale for adopting them. Based on empirical data, a new method is proposed and tested on an exploratory corpus. The motivation and arguments for proposing the procedure are revealed, using comparisons between different languages. The adequacy of the results yielded by the different methods is tested via a mechanism developed with this research.

Keywords: corpora, key words, chi-square, log likelihood, lemmas, lemmatization

Article history:
Submitted: 22 November 2015;
Reviewed: 14 December 2015;
Accepted: 21 December 2015;
Published: 31 December 2015

Citation (APA):
Tarasheva, E. (2015). An alternative proposal for eliciting key words. English Studies at NBU, 1(2), 5-26.

Copyright © 2015 Elena Tarasheva

This open access article is published and distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. If you want to use the work commercially, you must first get the authors' permission.

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