Critical Challenges in Natural Language Processing

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Critical Challenges in Natural Language Processing

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dc.contributor.author Prakashe, Veena A en_US
dc.date.accessioned 2005-05-10T07:30:56Z en_US
dc.date.accessioned 2010-04-08T08:47:56Z
dc.date.available 2005-05-10T07:30:56Z en_US
dc.date.available 2010-04-08T08:47:56Z
dc.date.issued 2005-02-02 en_US
dc.identifier.isbn 81-902079-0-3 en_US
dc.identifier.uri http://hdl.handle.net/1944/498 en_US
dc.description.abstract In 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.extent 223209 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en en_US
dc.publisher INFLIBNET Centre en_US
dc.subject Natural Language Processing en_US
dc.title Critical Challenges in Natural Language Processing en_US
dc.type Article en_US

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