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dc.contributor.authorSalton, Gerarden_US
dc.contributor.authorSmith, Mariaen_US
dc.date.accessioned2007-04-23T17:35:36Z
dc.date.available2007-04-23T17:35:36Z
dc.date.issued1988-12en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR88-954en_US
dc.identifier.urihttps://hdl.handle.net/1813/6794
dc.description.abstractThis study summarizes various linguistic approaches proposed for document analysis in information retrieval environments. Included are standard syntactic methods to generate complex content identifiers, and the use of semantic know-how obtained from machine-readable dictionaries and from specially constructed knowledge bases. A particular syntactic analysis methodology is also outlined and its usefulness for the automatic construction of book indexes is examined.en_US
dc.format.extent1444772 bytes
dc.format.extent851140 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleOn the Application of Syntactic Methodologies in Automatic Text Analysisen_US
dc.typetechnical reporten_US


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