A hybrid formalism to parse Sign Languages
Abstract
Sign Language (SL) linguistic is dependent on the expensive task of annotating. Some automation is already available for low-level information (eg. body part tracking) and the lexical level has shown significant progresses. The syntactic level lacks annotated corpora as well as complete and consistent models. This article presents a solution for the automatic annotation of SL syntactic elements. It exposes a formalism able to represent both constituency-based and dependency-based models. The first enable the representation the structures one may want to annotate, the second aims at fulfilling the holes of the first. A parser is presented and used to conduct two experiments on the solution. One experiment is on a real corpus, the other is on a synthetic corpus.
Cite
@article{arxiv.1403.4467,
title = {A hybrid formalism to parse Sign Languages},
author = {Rémi Dubot and Christophe Collet},
journal= {arXiv preprint arXiv:1403.4467},
year = {2014}
}
Comments
6 pages, 6 figures, Procedings of the 6th Workshop on the Representation and Processing of Sign Languages: Beyond the manual channel, Language Resources and Evaluation Conference (LREC) Reykjavik, Iceland, 31 May 2014