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A Comparative Study of Optimality Theory and Dorsal-Ventral Model of Speech processing

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· Pages: 2788-2801· Vol. 6, No. 6, (2022)· Published: June 27, 2022
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Abstract

This article conducts a comparative study between Optimality Theory in linguistics (Prince and Smolenesky 1993/2004) and the Dorsal-Ventral Model of Speech processing (Hickok and Poeppel 2004). The study makes use of the descriptive-analytical method. In Optimality Theory there are two major types of constraints: Faithfulness and Markedness. According to this theory, linguistics forms arise from interaction between Faithfulness and Markedness constraints. In contrast, the Dorsal-Ventral model of speech processing has two dorsal and ventral streams. The ventral stream is for speech comprehension, and the dorsal stream is for speech production. Here we first compared the ventral and then dorsal stream with the Optimality Theory. By comparing the ventral stream with Optimality Theory, the selection of optimal phonological representation has been described. By comparing the dorsal stream, the selection of optimal phonetic representation has been described. Following this stage, clinical evidences are mentioned to increase the strength of research analyses, and finally conclusions are presented. The results show that Optimality Theory is also neurologically compatible with the Dorsal-Ventral model of speech processing. Since in Optimality Theory, it is constraints that determine the optimal output, the neural explanation of constraints is currently not possible.

 

Author details
Sadegh Eftekary Far
Master of Lingistics, Speech Therapist of South Khorasan Exceptional Education Office, sarayan. Iran
✉ Corresponding Author
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Sayed Farid Khalifehloo
Asistant prof. , English Language Department, University of Sistan and Baluchestan, Zahedan, Iran
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Hashem Farhang Doost
Speech Therapist and Phd of Cognitive Neuroscience, Lecturer at Tehran University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
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Majid Torabi Moghddam
Asistant prof. , Faculty of foreign Languages, Department of linguistics, Velayat University, Iranshahr, Iran
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