We propose an approach to semi-automatically obtaining semantic relations in Swiss German Sign Language (Deutschschweizerische Gebärdensprache, DSGS). We use a set of keywords including the gloss to represent each sign. We apply GermaNet, a lexicographic reference database for German annotated with semantic relations. The results show that approximately 60% of the semantic relations found for the German keywords associated with 9000 entries of a DSGS lexicon also apply for DSGS. We use the semantic relations to extract sub-types of the same type within the concept of double glossing (Konrad 2011). We were able to extract 53 sub-type pairs.
@inproceedings{ebling:12010:sign-lang:lrec,
author = {Ebling, Sarah and Tissi, Katja and Volk, Martin},
title = {Semi-Automatic Annotation of Semantic Relations in a {Swiss} {German} {Sign} {Language} Lexicon},
pages = {31--36},
editor = {Crasborn, Onno and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Kristoffersen, Jette and Mesch, Johanna},
booktitle = {Proceedings of the {LREC2012} 5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon},
maintitle = {8th International Conference on Language Resources and Evaluation ({LREC} 2012)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Istanbul, Turkey},
day = {27},
month = may,
year = {2012},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/12010.pdf}
}