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.
@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}
}