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Generative phonotactics

Abstract
sparkles

AI

This dissertation outlines the empirical scope of phonotactic theory and argues that the core principles of phonotactic knowledge are compatible with a distinct view from the lexicon, which is categorical and closely related to phonological processes. The work critiques the probabilistic view of phonotactics as a gradient process independent of phonology and emphasizes the importance of phonotactic knowledge in language comprehension.

Key takeaways

  • Static phonotactic constraints previously proposed to describe gaps in the inventory of medial clusters are found to be statistically unsound, whereas phonological alternations impose robust restrictions on the cluster inventory.
  • Categorical and gradient aspects of wordlikeness Much of the recent work in phonotactic theory has aempted to implement the intuition that phonotactic wellformedness is not an "all-or-nothing" maer.
  • Similarly, Hayes and Wilson (2008), who compare their gradient model of wordlikeness against a set of English phonotactic constraints proposed by Clements and Keyser (1983), first transform these constraints, several of which are without exception, into probabilities.
  • In the absence of phonotactic violences, lile variance in wordlikeness ratings can be aributed to phonotactic wellformedness, making it difficult to determine the coverage of gradient wellformedness models.
  • is chapter focuses on three phonotactic generalizations in Turkish, comparing lexical statistics and the results of a wordlikeness task performed by Zimmer (1969).