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Discovering multiword expressions

Published online by Cambridge University Press:  11 September 2019

Aline Villavicencio  and
Marco Idiart
Aline Villavicencio*
Affiliation:
Federal University of Rio Grande do Sul, Porto Alegre, Brazil University of Sheffield, Sheffield, UK University of Essex, Colchester, England, UK
Marco Idiart
Affiliation:
Federal University of Rio Grande do Sul, Porto Alegre, Brazil
*
*Corresponding author. Email: a.villavicencio@sheffield.ac.uk
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Abstract

In this paper, we provide an overview of research on multiword expressions (MWEs), from a natural language processing perspective. We examine methods developed for modelling MWEs that capture some of their linguistic properties, discussing their use for MWE discovery and for idiomaticity detection. We concentrate on their collocational and contextual preferences, along with their fixedness in terms of canonical forms and their lack of word-for-word translatatibility. We also discuss a sample of the MWE resources that have been used in intrinsic evaluation setups for these methods.

Keywords

Multiword expressionsAssociation measuresCompositionalityIdiomaticity

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Type
Article
Information
Natural Language Engineering , Volume 25 , Issue 6 , November 2019 , pp. 715 - 733
Copyright
© Cambridge University Press 2019 

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