A Corpus-based Approach to Linguistic Function
Year: 2013
Type: conference-paper
Abstract: In this paper, we present our recent experience in constructing a first-of-its-kind functional corpus based on the theoretical framework of Systemic Functional Linguistics.Annotated on selected texts from the Penn Treebank, the corpus was built by a collaborative team on web-based annotation platform with several advanced features.After a discussion on the background and motivation of the project, we present our solutions to some of the challenges encountered in the collaborative annotation process.With fine-grained annotations of an initial corpus now available, the corpus can serve as a valuable linguistic resource that complements existing semantically annotated corpora and aid in the development of a largerscale resource crucial for automated systems for analysis of linguistic function.
Authors: Hengbin Yan, Jonathan J. Webster
Institution: City University of Hong Kong
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W954615537