Learning Phonological Mappings by Learning Strictly Local Functions*

نویسندگان

  • Jane Chandlee
  • Adam Jardine
چکیده

The current study identifies locality as a near-universal property of phonological input-output mappings that describe processes with local triggers and presents a learning algorithm which uses locality as an inductive principle to generalize such mappings from finite data. Input-output (or UR-SR) mappings like the one in (1) are integral to both the rewrite rules of Sound Pattern of English (Chomsky & Halle, 1968) and constraint-driven grammars like Optimality Theory (Prince & Smolensky, 1993, 2004).

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تاریخ انتشار 2013