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dc.creatorQuesada Moreno, José Franciscoes
dc.date.accessioned2019-06-07T09:17:05Z
dc.date.available2019-06-07T09:17:05Z
dc.date.issued1998
dc.identifier.citationQuesada Moreno, J.F. (1998). Lexical Object Theory: Specification Level. Grammars, 1 (1), 57-84.
dc.identifier.issn1386-7393es
dc.identifier.urihttps://hdl.handle.net/11441/87256
dc.description.abstractUnification has become a major paradigm in Mathematical and Computational Linguistics. The research done in this area may be classified in four main streams: feature structures as an adequate model for the description of linguistic phenomena, typed unification, representation of feature structures, and unification algorithms. This work proposes a new approach to unification-based Mathematical and Computational Linguistics: the Lexical Object Theory. The main design criteria are based on linguistic motivation, computational efficiency and formal soundness. The first part of the work outlines the main characteristics of the Lexical Object Theory, its comprehensive orientation, and its layered structure based on the separation of the following levels: specification, transformation, typification, representation and unification. The second part concentrates on the specification level of the Lexical Object Theory. The linguistic motivation of this model is presented, as well as a detailed description of the specification formalism, the computational model it is based on, and finally, the inference rules on lexical objects at the specification level.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofGrammars, 1 (1), 57-84.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectComputational representation and inferencees
dc.subjectLexical object theoryes
dc.subjectLexical object specification formalismes
dc.subjectUnification-based grammar formalismses
dc.titleLexical Object Theory: Specification Leveles
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.publisherversionhttps://link.springer.com/article/10.1023/A%3A1009978900499es
dc.identifier.doi10.1023/A:1009978900499es
idus.format.extent2es
dc.journaltitleGrammarses
dc.publication.volumen1es
dc.publication.issue1es
dc.publication.initialPage57es
dc.publication.endPage84es
dc.identifier.sisius6612200es

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional