Similarity Avoidance and Final Stop Deletion in Consonantal Clusters of Persian within Optimality Theory Framework

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Modarresi Ghavami Golnaz; Elhami Khorasani Sahand

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: LANGUAGE SCIENCES Year:2018 | Volume:5 | Issue:7 Page(s): 53-87

Download Full-Text

Persian Verion

View:

901

Download:

Cites:

Information Journal Paper

Title

Similarity Avoidance and Final Stop Deletion in Consonantal Clusters of Persian within Optimality Theory Framework

Author(s)

Modarresi Ghavami Golnaz | Elhami Khorasani Sahand | Issue Writer Certificate

Keywords

Stop consonant deletion

Consonant clusters

Optimality Theory

Similarity avoidance

Persian phonotactics

Abstract

Similarity avoidance-as a perceptual factor-is the basis of the phonotactics of a variety of languages. Stop consonants are considered to be ideal candidates for deletion as they have intrinsically weak perceptual cues, especially in final position. The present research study sought to explore the relationship between the probability of final stop deletion in consonantal clusters and the degree of similarity between such stops and the other member of the cluster in Persian. To do so, all final consonantal clusters were analyzed considering the degree of similarity in voicing, place, and manner of articulation between the two consonants of the cluster. Data analysis demonstrated that the chance for the deletion of final stops increases as the similarity between the stop and the previous consonant in the cluster increases and that all three parameters of voicing, place, and manner are important in this regard. Patterns of final stop deletion in final clusters of Persian were analyzed using a perception-based approach within Optimality Theory framework, where markedness constraints rule out outputs that are perceptually weak and faithfulness constraints prevent any change in a perceptually strong input.

Cites

No record.

References

No record.

Cite

APA: Copy

Modarresi Ghavami, Golnaz, & Elhami Khorasani, Sahand. (2018). Similarity Avoidance and Final Stop Deletion in Consonantal Clusters of Persian within Optimality Theory Framework. LANGUAGE SCIENCES, 5(7 ), 53-87. SID. https://sid.ir/paper/268718/en

Vancouver: Copy

Modarresi Ghavami Golnaz, Elhami Khorasani Sahand. Similarity Avoidance and Final Stop Deletion in Consonantal Clusters of Persian within Optimality Theory Framework. LANGUAGE SCIENCES[Internet]. 2018;5(7 ):53-87. Available from: https://sid.ir/paper/268718/en

IEEE: Copy

Golnaz Modarresi Ghavami, and Sahand Elhami Khorasani, “Similarity Avoidance and Final Stop Deletion in Consonantal Clusters of Persian within Optimality Theory Framework,” LANGUAGE SCIENCES, vol. 5, no. 7 , pp. 53–87, 2018, [Online]. Available: https://sid.ir/paper/268718/en

Related Journal Papers