To read this content please select one of the options below:

Semi-automatic extraction of multiword terms from domain-specific corpora

Vesna Pajić (Department for Mathematics and Physics, University of Belgrade, Belgrade, Serbia)
Staša Vujičić Stanković (Department for Computer Science and Informatics, University of Belgrade, Belgrade, Serbia)
Ranka Stanković (Chair of Applied Mathematics and Informatics, University of Belgrade, Belgrade, Serbia)
Miloš Pajić (Department of Agricultural Engineering, University of Belgrade, Belgrade, Serbia)

The Electronic Library

ISSN: 0264-0473

Article publication date: 24 May 2018

Issue publication date: 11 June 2018

269

Abstract

Purpose

A hybrid approach is presented, which combines linguistic and statistical information to semi-automatically extract multiword term candidates from texts.

Design/methodology/approach

The method is designed to be domain and language independent, focusing on languages with rich morphology. Here, it is used for extracting multiword terms from texts in Serbian, belonging to the agricultural engineering domain, as a use case. Predefined syntactic structures were used for multiword terms. For each structure, a finite state transducer was developed, which recognizes text sequences having that structure and outputs the sequence in a normalized form, so that different inflectional forms of the same multiword term can be counted properly. Term candidates were further filtered by their frequencies and evaluated by two domain experts.

Findings

By using language resources, such as electronic dictionaries and grammars, 928 multiword terms were extracted out of 1,523 multiword terms that were recognized as candidates from a corpus having 42,260 different simple word forms; 870 of these were new, not already contained in the existing electronic dictionary of compounds for Serbian, and they were used to enrich the dictionary.

Originality/value

The paper presents methodology that can significantly contribute to the development of terminology lexicons in different areas. In this particular use case, some important agricultural engineering concepts were extracted from the text, but this approach could be used for other domains and languages as well.

Keywords

Acknowledgements

This paper is part of the research funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia, Ref. No. 178006 and III 47003.

Citation

Pajić, V., Vujičić Stanković, S., Stanković, R. and Pajić, M. (2018), "Semi-automatic extraction of multiword terms from domain-specific corpora", The Electronic Library, Vol. 36 No. 3, pp. 550-567. https://doi.org/10.1108/EL-06-2017-0128

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles