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Computational Consequences of Agreement and Ambiguity in Natural Language

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dc.creator Ristad, Eric Sven
dc.creator Berwick, Robert C.
dc.date 2004-10-04T15:14:41Z
dc.date 2004-10-04T15:14:41Z
dc.date 1988-11-01
dc.date.accessioned 2013-10-09T02:45:54Z
dc.date.available 2013-10-09T02:45:54Z
dc.date.issued 2013-10-09
dc.identifier AIM-1178
dc.identifier http://hdl.handle.net/1721.1/6526
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description The computer science technique of computational complexity analysis can provide powerful insights into the algorithm-neutral analysis of information processing tasks. Here we show that a simple, theory-neutral linguistic model of syntactic agreement and ambiguity demonstrates that natural language parsing may be computationally intractable. Significantly, we show that it may be syntactic features rather than rules that can cause this difficulty. Informally, human languages and the computationally intractable Satisfiability (SAT) problem share two costly computional mechanisms: both enforce agreement among symbols across unbounded distances (Subject-Verb agreement) and both allow ambiguity (is a word a Noun or a Verb?).
dc.format 2889628 bytes
dc.format 1140647 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-1178
dc.title Computational Consequences of Agreement and Ambiguity in Natural Language


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