Creating a systemic functional grammar corpus from the Penn treebank

Authors:
Matthew Honnibal;James R. Curran
Affiliations:
University of Sydney, Australia;University of Sydney, Australia
Venue:
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
Year:
2007

Citing 2
Cited 1

Building a large annotated corpus of English: the penn treebank

Computational Linguistics - Special issue on using large corpora: II
The Proposition Bank: An Annotated Corpus of Semantic Roles

Computational Linguistics

Annotation of clausal functional information for semantic retrieval

Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval

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Abstract

The lack of a large annotated systemic functional grammar (SFG) corpus has posed a significant challenge for the development of the theory. Automating SFG annotation is challenging because the theory uses a minimal constituency model, allocating as much of the work as possible to a set of hierarchically organised features. In this paper we show that despite the unorthodox organisation of SFG, adapting existing resources remains the most practical way to create an annotated corpus. We present and analyse SFGBank, an automated conversion of the Penn Treebank into systemic functional grammar. The corpus is comparable to those available for other linguistic theories, offering many opportunities for new research.