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dc.contributor.authorLyon, C.
dc.date.accessioned2011-01-11T16:09:39Z
dc.date.available2011-01-11T16:09:39Z
dc.date.issued1997
dc.identifier.citationLyon , C 1997 , Evaluating parsing schemes with entropy indicators . UH Computer Science Technical Reports , vol. 275 , University of Hertfordshire .
dc.identifier.otherPURE: 84639
dc.identifier.otherPURE UUID: 2b1b66b6-19a6-4e2f-bcc8-218c2a4d3dff
dc.identifier.otherdspace: 2299/5134
dc.identifier.urihttp://hdl.handle.net/2299/5134
dc.description.abstractThis paper introduces an objective metric for assessing the effectiveness of a parsing scheme. Information theoretic indicators can be used to show whether a given scheme captures some of the structure of natural language text. We then use this method to support a proposal to decompose the parsing task into computionally more tractable subtasks.en
dc.language.isoeng
dc.publisherUniversity of Hertfordshire
dc.relation.ispartofseriesUH Computer Science Technical Reports
dc.titleEvaluating parsing schemes with entropy indicatorsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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