Turkish Resources for Visual Word Recognition

Begum Erten-Uyumaz, Cem Bozsahin , Deniz Zeyrek

This project was presented in 9th Language Resources and Evaluation Conference which was held between 26-31 May in Reykjavik, Iceland. Click here for the poster. Click here for the paper.

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 study. 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, and OLD20 score. It was hypothesized that all the tested linguistic variables will influence the Turkish visual word recognition data. View the ¬†poster ¬†for the results.

Keuleers, E., Diependaele, K., & Brysbaert, M. (2010). Practice effects in large-scale visual word recognition studies: A lexical decision study on 14,000 Dutch mono-and disyllabic words and nonwords. Language Sciences, 1, 174.