Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/498
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dc.contributor.authorPrakashe, Veena Aen_US
dc.date.accessioned2005-05-10T07:30:56Zen_US
dc.date.accessioned2010-04-08T08:47:56Z-
dc.date.available2005-05-10T07:30:56Zen_US
dc.date.available2010-04-08T08:47:56Z-
dc.date.issued2005-02-02en_US
dc.identifier.isbn81-902079-0-3en_US
dc.identifier.urihttp://hdl.handle.net/1944/498en_US
dc.description.abstractIn this paper, the author attempts to enlist some of the basic bottlenecks that pose challenges while designing the automation of any natural language understanding system. In the beginning, some background material on the study of language and an overview of linguistics is presented for the benefit of the reader who might be new to the fields of artificial intelligence and cognitive science. Natural language systems are also discussed briefly so as to give a better insight into the processing of natural languages by computer systems. Then the three major threats or challenges of natural language processing, viz. knowledge acquisition from natural language; interaction with multiple underlying systems; and partial understanding of multi-sentence and fragments of language are discussed.en_US
dc.format.extent223209 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherINFLIBNET Centreen_US
dc.subjectNatural Language Processingen_US
dc.titleCritical Challenges in Natural Language Processingen_US
dc.typeArticleen_US
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