THE PHONOGRAPHIC NETWORK OF LANGUAGE: USING NETWORK SCIENCE TO INVESTIGATE THE PHONOLOGICAL AND ORTHOGRAPHIC SIMILARITY STRUCTURE OF LANGUAGE

Orthographic effects in spoken word recognition and phonological effects in visual word recognition have been observed in a variety of behavioral experimental paradigms, strongly suggesting that a close interrelationship exists between phonology and orthography. However, the metrics used to investigate these effects, such as consistency and neighborhood size, fail to generalize to words of various lengths or syllable structures, and do not take into account the more global similarity structure that exists between phonological and orthographic representations in the language. To address these limitations, the tools of Network Science were used to simultaneously characterize the phonological as well as orthographic similarity structure of words in English within a phonographic multiplex. In this paper, I analyze a section of the phonographic multiplex known as the phonographic network of language, where links are placed between words that are both phonologically and orthographically similar to each other, i.e., a link would be placed between words such as ‘pant’ (/p@nt/) and ‘punt’ (/p^nt/). Conventional psycholinguistic experiments (auditory naming and auditory lexical decision) and an archival analysis of the English Lexicon Project (visual naming and visual lexical decision) were conducted to investigate the influence of two network science metrics derived from the phonographic network—phonographic degree and phonographic clustering coefficient—on spoken and visual word recognition. Results indicated a facilitatory effect of phonographic degree on visual word recognition, and a facilitatory effect of phonographic clustering coefficient on spoken word recognition. The present findings have implications for theoretical models of spoken and visual word recognition, and for increasing our understanding of language learning and language disorders.

Grantor dc:publisher

University of Kansas

Year dc:date.issued

2017

Author dc:creator

• Siew, Cynthia S. Q.

Advisor dc:contributor.advisor

• Vitevitch, Michael S

• Language
• Cognitive psychology
• Psychology
• clustering coefficient
• language processing
• multiplex
• network science
• spoken word recognition
• visual word recognition

Statement dc:rights

• Copyright held by the author.

Language dc:language.iso

en

Dc Identifier Other

http://dissertations.umi.com/ku:15413

OAI identifier oai:identifier

oai:kuscholarworks.ku.edu:1808/26028