Grammar Specialization through Entropy Thresholds

dc.creatorSamuelsson, Christer
dc.date1994-05-25
dc.date.accessioned2026-07-07T09:09:15Z
dc.date.available2026-07-07T09:09:15Z
dc.descriptionExplanation-based generalization is used to extract a specialized grammar from the original one using a training corpus of parse trees. This allows very much faster parsing and gives a lower error rate, at the price of a small loss in coverage. Previously, it has been necessary to specify the tree-cutting criteria (or operationality criteria) manually; here they are derived automatically from the training set and the desired coverage of the specialized grammar. This is done by assigning an entropy value to each node in the parse trees and cutting in the nodes with sufficiently high entropy values.
dc.description8 pages
dc.identifierhttps://arxiv.org/abs/cmp-lg/9405022
dc.identifierhttp://arxiv.org/abs/cmp-lg/9405022
dc.identifierIn Proceedings of ACL-94
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/150973
dc.subjectComputation and Language
dc.titleGrammar Specialization through Entropy Thresholds
dc.typetext

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