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Compound Words Are Decomposed Regardless of Semantic Transparency and Grammatical Class: An Fmri Study in Persian Publisher



Momenian M1 ; Radman N2, 6 ; Rafipoor H3 ; Barzegar M4 ; Weekes B5
Authors
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Authors Affiliations
  1. 1. Department of Chinese and Bilingual Studies, Faculty of Humanities, The Hong Kong Polytechnic University, Hong Kong
  2. 2. Institute for Research in Fundamental Sciences, Tehran, Iran
  3. 3. fMRIB Analysis Group, University of Oxford, Oxford, United Kingdom
  4. 4. Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Laboratory for Communication Science, Human Communication, Development, and Information Sciences Unit, Faculty of Education, University of Hong Kong, Hong Kong
  6. 6. Psychiatry Department, Tehran University of Medical Sciences, Tehran, Iran

Source: Lingua Published:2021


Abstract

Processing of morphologically complex words in the brain is a sophisticated phenomenon. In this study, we asked whether the semantic transparency of compound words and their grammatical class played a role in their processing at the neural level in Persian, a language with a relatively productive system of morphological compounding. Twenty-eight native speakers of Persian performed an auditory task during fast-sparse fMRI. Combined univariate and multivariate analyses showed that all compound words were processed similarly regardless of their semantic transparency and grammatical class. Our findings partially support those approaches that claim semantic transparency is a property of processing, not representation. We contend that language-specific properties such as linguistic productivity and task-related manipulations are very important in modulating morphological processing. © 2021 Elsevier B.V.