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Complexity of Human Language Comprehension

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dc.contributor.author Ristad, Eric Sven en_US
dc.date.accessioned 2004-11-19T17:17:53Z
dc.date.available 2004-11-19T17:17:53Z
dc.date.issued 1988-12-01 en_US
dc.identifier.other AIM-964 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/7341
dc.description.abstract The goal of this article is to reveal the computational structure of modern principle-and-parameter (Chomskian) linguistic theories: what computational problems do these informal theories pose, and what is the underlying structure of those computations? To do this, I analyze the computational complexity of human language comprehension: what linguistic representation is assigned to a given sound? This problem is factored into smaller, interrelated (but independently statable) problems. For example, in order to understand a given sound, the listener must assign a phonetic form to the sound; determine the morphemes that compose the words in the sound; and calculate the linguistic antecedent of every pronoun in the utterance. I prove that these and other subproblems are all NP-hard, and that language comprehension is itself PSPACE-hard. en_US
dc.format.extent 49 p. en_US
dc.format.extent 5602405 bytes
dc.format.extent 2090110 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AIM-964 en_US
dc.subject linguistic theory en_US
dc.subject natural language en_US
dc.subject computational complexity en_US
dc.subject government-binding en_US
dc.subject phonology en_US
dc.subject syntax en_US
dc.title Complexity of Human Language Comprehension en_US


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