Ingesting the auslan corpus into the DADA annotation store

Abstract

The DADA system is being developed to support collaborative access to and annotation of language resources over the web. DADA implements an abstract model of annotation suitable for storing many kinds of data from a wide range of language resources. This paper describes the process of ingesting data from a corpus of Australian Sign Language (Auslan) into the DADA system. We describe the format of the RDF data used by DADA and the issues raised in converting the ELAN annotations from the corpus. © 2009 The Association for Computational Linguistics.