Adapting and testing psycholinguistic toolboxes for Turkish visual word recognition studies


Thesis Type: Postgraduate

Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Graduate School of Informatics, Cognitive Science, Turkey

Approval Date: 2013

Student: BEGÜM ERTEN

Co-Supervisor: HÜSEYİN CEM BOZŞAHİN, DENİZ ZEYREK BOZŞAHİN

Abstract:

This study presents two different software programs to be used in Turkish visual word recognition studies: KelimetriK and Wuggy with a Turkish plug-in extension. KelimetriK is a query-based software program developed as part of this thesis. KelimetriK provides word and bi-gram/tri-gram frequencies, orthographic neighborhood (ON), orthographic relatedness (transposed letter similarity and subset/superset similarity) and OLD20 (orthographic Levensthein Distance 20) scores. Wuggy is a pseudoword (i.e. wordlike non-words) generator that is adaptable to multiple languages (Keuleers, & Brstbaert, 2010). The pseudowords are generated from one or more user defined reference words by considering the sub-syllabic elements' bi-gram frequencies (the onset-nucleus-coda pattern). Developing a Turkish plug-in for the Wuggy software was also part of this thesis. KelimetriK and the Turkish plug-in for Wuggy were used on a lexical decision visual word recognition study. The aim of the study was to investigate the specific influence of word-frequency, ON, OLD20 and imageability on response time and accuracy scores. It was hypothesized that all the tested linguistic variables will influence the Turkish visual word recognition data.