Literary and Linguistic Computing Advance Access published online on June 11, 2009
Literary and Linguistic Computing, doi:10.1093/llc/fqp024
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SusTEInability of linguistic resources through feature structures
Institut für Deutsche Sprache, Mannheim, Germany
vionto GmbH, Berlin, Germany
Tübingen University, General and Computational Linguistics, Germany
Hamburg University, SFB Multilingualism, Germany
Bielefeld University, Faculty of Linguistics and Literary Studies, Germany
Correspondence: Andreas Witt, Institut für Deutsche Sprache, R 5, 6-13, D-68161 Mannheim, Germany. E-mail: witt{at}ids-mannheim.de
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Abstract |
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This article shows that the TEI tag set for feature structures can be adopted to represent a heterogeneous set of linguistic corpora. The majority of corpora is annotated using markup languages that are based on the Annotation Graph framework, the upcoming Linguistic Annotation Format ISO standard, or according to tag sets defined by or based upon the TEI guidelines. A unified representation comprises the separation of conceptually different annotation layers contained in the original corpus data (e.g. syntax, phonology, and semantics) into multiple XML files. These annotation layers are linked to each other implicitly by the identical textual content of all files. A suitable data structure for the representation of these annotations is a multi-rooted tree that again can be represented by the TEI and ISO tag set for feature structures. The mapping process and representational issues are discussed as well as the advantages and drawbacks associated with the use of the TEI tag set for feature structures as a storage and exchange format for linguistically annotated data.