Output details
11 - Computer Science and Informatics
University of Edinburgh
Article title
A probabilistic corpus-based model of syntactic parallelism
Type
D - Journal article
Title of journal
Cognition
Article number
-
Volume number
109
Issue number
3
First page of article
326
ISSN of journal
0010-0277
Year of publication
2008
Number of additional authors
2
Additional information
<22> Originality: The first paper to propose a computational model of parallelism in human sentence processing.
Significance: The parallelism effect has long been an unexplained property of human sentence processing. This paper changed the way we think about the effect by showing that caching mechanisms can give rise to parallelism. This provides a unified computational theory of parallelism and priming, which was tested in an experimental companion paper (Sturt, Dubey, Keller, J Memory and Language 2010).
Rigour: Probabilistic parsers and statistical language models trained on realistic corpora were applied to build a broad-coverage model of human sentence processing.
Interdisciplinary
-
Cross-referral requested
-
Research group
D - Institute for Language, Cognition & Computation
Citation count
10
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
