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

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.