English-ASL Gloss Parallel Corpus 2012: ASLG-PC12
Achraf Othman, Mohamed Jemni · 2012
Abstract A serious problem facing the community of researchers in the field of sign language is the absence of a large parallel corpus for signs language. The ASLG-PC12 project proposes a rule-based approach for building a big parallel corpus of English written texts and American Sign Language glosses. We present a novel algorithm that transforms an English part-of-speech sentence to an ASL gloss. This project was started in the beginning of 2011 as a part of the project WebSign, and it offers today a corpus containing more than one hundred million pairs of sentences between English and ASL glosses. It is available online for free to promote development and design of new algorithms and theories for American Sign Language processing, for example statistical machine translation and related fields. In this paper, we present tasks for generating ASL sentences from the Gutenberg Project corpus that contains only English written texts. Keywords: American Sign Language, Parallel Corpora, Sign Language