@inproceedings{EFTHIMIOU18.18043,
title = {The POLYTROPON parallel corpus},
author = {Eleni Efthimiou and Kiriaki Vasilaki and Stavroula-Evita Fotinea and Anna Vacalopoulou and Theodoros Goulas and Athanasia-Lida Dimou },
editor = {Mayumi Bono and Eleni Efthimiou and Stavroula-Evita Fotinea and Thomas Hanke and Julie Hochgesang and Jette Kristoffersen and Johanna Mesch and Yutaka Osugi},
url = {https://www.sign-lang.uni-hamburg.de/lrec/lrec/pubs/18043.pdf},
isbn = {979-10-95546-01-6},
year = {2018},
date = {2018-05-01},
urldate = {2018-05-01},
booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
publisher = {European Language Resources Association (ELRA)},
address = {Paris, France},
abstract = {Here we present the POLYTROPON parallel corpus for the language pair Greek Sign Language (GSL) – Modern Greek, which is created and annotated aiming to serve as a golden corpus available to the community of SL technologies for experimentation with various approaches to SL processing, focusing on machine learning for SL recognition, machine translation (MT) and information retrieval. The corpus volume incorporates 3,600 sentences performed by a single signer in three repetitions each, captured in front view by means of one HD and one kinect camera. Corpus creation was based on the validation procedure of a set of 2,000 lemmas deriving from the GSL segment of the Dicta-Sign corpus. Annotation of the corpus has provided interesting results in relation to all representation levels discussed within grammar theory, namely, lexicon, morphology, syntax, and semantics. Furthermore, it has allowed extraction of initial feature sets with the aim to reach a GSL level of abstraction close to the one currently available for Greek language representations, exploiting the inherent characteristics of the language. The POLYTROPON corpus is available to the SL research and SL technologies community via the CLARIN:EL infrastructure.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}