Using sign language corpora as bilingual corpora for data mining: contrastive linguistics and computer-assisted annotation

Autor/a: MEURANT, Laurence; CLEVE, Anthony; CRASBORN, Onno
Año: 2016
Editorial: 2016
Tipo de código: Copyright
Soporte: Digital

Temas

Lingüística, Lingüística » Lingüística de otras Lenguas de Signos, Lingüística » Sistemas de transcripción de las Lenguas de Signos

Detalles

More and more sign languages nowadays are now documented by large scale digital corpora. But exploiting sign language (SL) corpus data remains subject to the time consuming and expensive manual task of annotating. In this paper, we present an ongoing research that aims at testing a new approach to better mine SL data. It relies on the methodology of corpus-based contrastive linguistics, exploiting SL corpora as bilingual corpora. We present and illustrate the main improvements we foresee in developing such an approach: downstream, for the benefit of the linguistic description and the bilingual (signed - spoken) competence of teachers, learners and the users; and upstream, in order to enable the automatisation of the annotation process of sign language data. We also describe the methodology we are using to develop a concordancer able to turn SL corpora into searchable translation corpora, and to derive from it a tool support to annotation.

En: Conference: 7th workshop on the Representation and Processing of Sign Languages:Corpus Mining - LREC 2016.