ConSOLE 31 2023 Bielefeld University

Automatic activation of orthographic information during spoken word recognition in Bangla

Moumita Mukherjee

The English and Foreign Languages University, Hyderabad

mm.mukherjeemoumita@gmail.com
Spoken Word RecognitionOrthographic InterferenceCohort Model

Abstract

Research in spoken word recognition shows traces of orthographic interference and similar effects were found in Bangla word recognition in a rhyme detection task where rhyming word pairs with similar orthographic representations were recognised faster than word pairs with dissimilar orthographic representations. The current paper reports findings of a priming task, where the primes and the targets shared phonological segments which were orthographically either similar or dissimilar. The intent was to examine whether the lexical decision time showed a difference in the two conditions and to account for the difference using the Cohort Model of word recognition.

Access & Citation

Citation Formats

APA Style

Moumita Mukherjee (2023). automatic activation of orthographic information during spoken word recognition in bangla. In Proceedings of ConSOLE 31, edited by Iva Kovač, Paul Meisenbichler, Atefeh Shahbazi, Hadis Tamleh, Maximilian Wiesner, (pp. 39-51).

BibTeX

@inproceedings{mukherjee-orthographic-2023, title={Automatic activation of orthographic information during spoken word recognition in Bangla}, author={Moumita Mukherjee}, booktitle={Proceedings of ConSOLE 31}, year={2023}, pages={39-51}, editor={Iva Kovač and Paul Meisenbichler and Atefeh Shahbazi and Hadis Tamleh and Maximilian Wiesner} }