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dc.contributor.authorFlorez Choque, Omar-
dc.contributor.authorCuadros Vargas, Ernesto-
dc.description.abstractThe fastest and most straightforward way of communication for mankind is the voice. Therefore, the best way to interact with computers should be the voice too. That is why at the moment men are searching new ways to interact with computers. This interaction is improved if the words spoken by the speaker are organized in Natural Language. In this article, it is proposed a model to recover information from databases through queries in Spanish Natural Language using the voice as the way of communication. This model incorporates a Hybrid Intelligent System based on Genetic Algorithms and a Kohonen Self-Organizing Map (SOM) to recognize the present phonemes in a word through time. This approach allows us to remake up a word with speaker independence. Furthermore, it is proposed the use of a compiler with type 2 grammar according to the Chomsky Hierarchy to support the syntactic and semantic structure in Spanish language. Our experiments suggest that the Spoken Natural Language improves notably the Human-Computer interaction when compared with traditional input methods such as: mouse or keybord. © 2007 IEEE.es_PE
dc.description.uriTrabajo académicoes_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.subjectGenetic algorithmses_PE
dc.subjectIntelligent systemses_PE
dc.subjectInteractive computer systemses_PE
dc.subjectMathematical modelses_PE
dc.subjectNatural language processing systemses_PE
dc.subjectSelf organizing mapses_PE
dc.subjectSpeech communicationes_PE
dc.subjectComputer interactiones_PE
dc.subjectHybrid Intelligent Systemses_PE
dc.subjectNatural language speakinges_PE
dc.subjectHuman computer interactiones_PE
dc.titleImproving human computer interaction through spoken natural languagees_PE
Appears in Collections:Artículos de investigación

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