Contributo in atti di convegno, 2014, ENG, 10.13140/2.1.3719.2320
Alessandro Panunzi, Irene De Felice, Lorenzo Gregori, Stefano Jacoviello, Monica Monachini, Massimo Moneglia, Valeria Quochi, Irene Russo
Università di Firenze, ILC CNR, Università di Firenze, Università di Siena, ILC CNR, Università di Firenze, ILC CNR, ILC CNR
Action 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.
XVI EURALEX International Congress: The User in Focus, pp. 1163–1170, Bolzano, 15-19/07/2014
Action verbs, Image ontology, Multilingual dictionary, Computer-aided translation
Russo Irene, De Felice Irene, Monachini Monica, Quochi Valeria
ILC – Istituto di linguistica computazionale "Antonio Zampolli"
ID: 285381
Year: 2014
Type: Contributo in atti di convegno
Creation: 2014-10-20 12:03:13.000
Last update: 2014-12-17 14:57:40.000
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
URL: http://euralex2014.eurac.edu/en/callforpapers/Documents/EURALEX%202014_gesamt.pdf
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:285381
DOI: 10.13140/2.1.3719.2320