This paper discusses those aspects of iLex, a sign language transcription tool, that are relevant to lexical work and the production of e- learning materials. iLex is built upon a relational database, and uses this strength to support the user in type-token matching by giving immediate access to all other tokens already related to a certain type. iLex features a number of classification schemes, both built-in and data-driven, to allow for the incremental process of identifying and describing the lexicon of a sign language. Data cannot only be exported to other transcription tools, but also into authoring systems for teaching materials. Finally, we speculate about the applicability of Zipf's Law for sign language corpora extrapolating from the current contents of the iLex database.
Thomas Hanke. 2006. Towards a Corpus-based Approach to Sign Language Dictionaries. In Proceedings of the LREC2006 2nd Workshop on the Representation and Processing of Sign Languages: Lexicographic Matters and Didactic Scenarios, pages 70–73, Genoa, Italy. European Language Resources Association (ELRA).
BibTeX Export
@inproceedings{hanke:06014:sign-lang:lrec,
author = {Hanke, Thomas},
title = {Towards a Corpus-based Approach to Sign Language Dictionaries},
pages = {70--73},
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/06014.pdf}
}
