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Trends in syntactic parsing: anticipation, Bayesian estimation, and good-enough parsing.

Authors :
Traxler, Matthew J.
Source :
Trends in Cognitive Sciences. Nov2014, Vol. 18 Issue 11, p605-611. 7p.
Publication Year :
2014

Abstract

Syntactic parsing processes establish dependencies between words in a sentence. These dependencies affect how comprehenders assign meaning to sentence constituents. Classical approaches to parsing describe it entirely as a bottom-up signal analysis. More recent approaches assign the comprehender a more active role, allowing the comprehender's individual experience, knowledge, and beliefs to influence his or her interpretation. This review describes developments in three related aspects of sentence processing research: anticipatory processing, Bayesian/noisy-channel approaches to sentence processing, and the ‘good-enough’ parsing hypothesis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13646613
Volume :
18
Issue :
11
Database :
Academic Search Index
Journal :
Trends in Cognitive Sciences
Publication Type :
Academic Journal
Accession number :
99106126
Full Text :
https://doi.org/10.1016/j.tics.2014.08.001