Ontology highlight
ABSTRACT:
SUBMITTER: Goh WP
PROVIDER: S-EPMC6133353 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Goh Woon Peng WP Luke Kang-Kwong KK Cheong Siew Ann SA
PloS one 20180911 9
Human language contains regular syntactic structures and grammatical patterns that should be detectable in their co-occurence networks. However, most standard complex network measures can hardly differentiate between co-occurence networks built from an empirical corpus and a body of scrambled text. In this work, we employ a motif extraction procedure to show that empirical networks have much greater motif densities. We demonstrate that motifs function as efficient and effective shortcuts in lang ...[more]