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Complexity of Human Language Comprehension

dc.date.accessioned2004-11-19T17:17:53Z
dc.date.accessioned2018-11-24T10:23:46Z
dc.date.available2004-11-19T17:17:53Z
dc.date.available2018-11-24T10:23:46Z
dc.date.issued1988-12-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7341
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7341
dc.description.abstractThe 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.extent49 p.en_US
dc.format.extent5602405 bytes
dc.format.extent2090110 bytes
dc.language.isoen_US
dc.subjectlinguistic theoryen_US
dc.subjectnatural languageen_US
dc.subjectcomputational complexityen_US
dc.subjectgovernment-bindingen_US
dc.subjectphonologyen_US
dc.subjectsyntaxen_US
dc.titleComplexity of Human Language Comprehensionen_US


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