A new interface to the ELAN annotation software that can handle automatically generated annotations by a sign language recognition and translation framework is described. For evaluation and benchmarking of automatic sign language recognition, large corpora with rich annotation are needed. Such databases have generally only small vocabularies and are created for linguistic purposes, because the annotation process of sign language videos is time consuming and requires expert knowledge of bilingual speakers (signers). The proposed framework provides easy access to the output of an automatic sign language recognition and translation framework. Furthermore, new annotations and metadata information can be added and imported into the ELAN annotation software. Preliminary results show that the performance of a statistical machine translation improves using automatically generated annotations. Automatic sign language recognition is a problem that is being solved by many research institutes in the world. Up to now there is a deficiency of corpora with good properties such as high resolution and frame rate, several views of the scene, detailed annotation etc. In this paper we take a closer look at the annotation of available data.
@inproceedings{dreuw:08038:sign-lang:lrec,
author = {Dreuw, Philippe and Ney, Hermann},
title = {Towards Automatic Sign Language Annotation for the {ELAN} Tool},
pages = {50--53},
editor = {Crasborn, Onno and Efthimiou, Eleni and Hanke, Thomas and Thoutenhoofd, Ernst D. and Zwitserlood, Inge},
booktitle = {Proceedings of the {LREC2008} 3rd Workshop on the Representation and Processing of Sign Languages: Construction and Exploitation of Sign Language Corpora},
maintitle = {6th International Conference on Language Resources and Evaluation ({LREC} 2008)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Marrakech, Morocco},
day = {1},
month = jun,
year = {2008},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/08038.pdf}
}