Translating action verbs using a dictionary of images: the IMAGACT ontology

By November 17, 2016,
Page1163-1170
AuthorAlessandro Panunzi, Irene De Felice, Lorenzo Gregori, Stefano Jacoviello, Monica Monachini
TitleTranslating action verbs using a dictionary of images: the IMAGACT ontology
AbstractAction verbs have many meanings, covering actions in different ontological types. Moreover, each language categorizes action in its own way. One verb can refer to many different actions and one action can be identified by more than one verb. The range of variations within and across languages is largely unknown, causing trouble in all translation tasks. IMAGACT is a corpus-based ontology of action concepts, derived from English and Italian spontaneous speech corpora, which makes use of the universal language of images to identify the different action types extended by verbs referring to action in English, Italian, Chinese and Spanish. This paper presents the IMAGACT search interface and the various kinds of linguistic information the user can derive from it. IMAGACT makes explicit the variation of meaning of action verbs within one language and allows comparisons of verb variations within and across languages. Because the action concepts are represented with videos, extension into new languages beyond those presently implemented in IMAGACT is done using competence-based judgments by mother-tongue informants, without intense lexicographic work involving underdetermined semantic descriptions.
SessionReports on Lexicographical and Lexicological Projects
KeywordsAction verbs; Image ontology; Multilingual dictionary; Computer-aided translation
BibTex
@InProceedings{ELX2014-091,
author={Alessandro Panunzi and Irene De Felice and Lorenzo Gregori and Stefano Jacoviello and Monica Monachini},
title={Translating action verbs using a dictionary of images: the IMAGACT ontology},
pages={1163-1170},
booktitle={Proceedings of the 16th EURALEX International Congress},
year={2014},
month={jul},
date={15-19},
address={Bolzano, Italy},
editor={Abel, Andrea and Vettori, Chiara and Ralli, Natascia},
publisher={EURAC research},
isbn={978-88-88906-97-3},
}
Download