In the field of machine translation, significant progress has been made by using statistical methods. In this paper we suggest a statistical machine translation system for Sign Language and written language, especially for the language pair German Sign Language (DGS) and German. After introducing the system’s architecture, statistical machine translation in general and notation systems for Sign Language, the corpus processing is scetched. Finally, preliminary translation results are presented.
Jan Bungeroth, Hermann Ney. 2004. Statistical Sign Language Translation. In Proceedings of the LREC2004 Workshop on the Representation and Processing of Sign Languages: From SignWriting to Image Processing. Information techniques and their implications for teaching, documentation and communication, pages 105–108, Lisbon, Portugal. European Language Resources Association (ELRA).
BibTeX Export
@inproceedings{bungeroth:04021:sign-lang:lrec,
author = {Bungeroth, Jan and Ney, Hermann},
title = {Statistical Sign Language Translation},
pages = {105--108},
editor = {Streiter, Oliver and Vettori, Chiara},
booktitle = {Proceedings of the {LREC2004} Workshop on the Representation and Processing of Sign Languages: From {SignWriting} to Image Processing. Information techniques and their implications for teaching, documentation and communication},
maintitle = {4th International Conference on Language Resources and Evaluation ({LREC} 2004)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Lisbon, Portugal},
day = {30},
month = may,
year = {2004},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/04021.pdf}
}