Title
Can chunking reduce syntactic complexity of natural languages?
Abstract
Natural language is a complex adaptive system with multiple levels. The hierarchical structure may have much to do with the complexity of language. Dependency Distance has been invoked to explain various linguistic patterns regarding syntactic complexity. However, little attention has been paid to how the structural properties of language to minimize dependency distance. This article computationally simulates several chunked artificial languages, and shows, through comparison with Mandarin Chinese, that chunking may significantly reduce mean dependency distance of linear sequences. These results suggest that language may have evolved the mechanism of dynamic chunking to reduce the complexity for the sake of efficient communication. (c) 2016 Wiley Periodicals, Inc. Complexity 21: 33-41, 2016
Year
DOI
Venue
2016
10.1002/cplx.21779
COMPLEXITY
Keywords
DocType
Volume
human language,chunk,syntactic complexity,dependence distance,Chinese
Journal
21.0
Issue
ISSN
Citations 
S2
1076-2787
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Qi-An Lu112.05
Chunshan Xu200.34
Haitao Liu3448.15