Based on speech observations in children and categories of semantic classes we designed a system which identifies these in natural language and translates them into a sign language. To accomplish this translation, we use algorithms to annotate a set of semantic relations in children’s language and hope to regain these sentences from natural source sentences. We define a set of rules used to change the word sequence of origin sentences at every marked relation.
Sandy Pleissner. 2006. Translation of Natural Speech into Sign Language Based on Semantic Relations. In Proceedings of the LREC2006 2nd Workshop on the Representation and Processing of Sign Languages: Lexicographic Matters and Didactic Scenarios, pages 74–77, Genoa, Italy. European Language Resources Association (ELRA).
BibTeX Export
@inproceedings{pleissner:06015:sign-lang:lrec,
author = {Pleissner, Sandy},
title = {Translation of Natural Speech into Sign Language Based on Semantic Relations},
pages = {74--77},
editor = {Vettori, Chiara},
booktitle = {Proceedings of the {LREC2006} 2nd Workshop on the Representation and Processing of Sign Languages: Lexicographic Matters and Didactic Scenarios},
maintitle = {5th International Conference on Language Resources and Evaluation ({LREC} 2006)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Genoa, Italy},
day = {28},
month = may,
year = {2006},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/06015.pdf}
}