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dc.contributor.advisorDr. Leonardo Garrido Luna
dc.contributor.authorGuzmán Herrera, Francisco Javier
dc.creatorGUZMAN HERRERA, FRANCISCO JAVIER; 212325es_MX
dc.date.accessioned2015-08-17T11:35:18Zen
dc.date.available2015-08-17T11:35:18Zen
dc.date.issued2011-01-12
dc.identifier.urihttp://hdl.handle.net/11285/572561en
dc.description.abstractStatistical Word Alignments represent lexical word-to-word translations between source and target language sentences. They are considered the starting point for many state of the art Statistical Machine Translation (SMT) systems. In phrase-based systems,
dc.format.mediumTextoes_MX
dc.language.isoeng
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterrey
dc.relation.isFormatOfversión publicadaes_MX
dc.relation.isreferencedbyREPOSITORIO NACIONAL CONACYT
dc.rightsopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0*
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA
dc.subject.lcshTecnología / Technology
dc.subject.lcshTheory and practice of education--Higher education—Preparation of theseses_MX
dc.titleThe Impact of Statistical Word Alignment Quality and Structure in Phrase Based Statistical Machine Translation
dc.typeTesis Doctorado / doctoral Thesis
thesis.degree.levelDoctor of Philosophy in Information Technologies and Communicationsen
dc.contributor.committeememberDr. Stephan Vogeles
thesis.degree.disciplineSchool Of Engineering And Information Technologiesen
thesis.degree.nameDoctoral Program Information Technologies and Communicationsen
dc.subject.keywordStatistical Mahine
dc.subject.keywordShidden Markov Models
dc.subject.keywordEmpirical Methods
thesis.degree.programCampus Monterreyes
dc.audience.educationlevelInvestigadores/Researchers
refterms.dateFOA2018-03-07T07:47:06Z
refterms.dateFOA2018-03-07T07:47:06Z
dc.identificator7
dc.identificator33
dc.identificator3304
dc.identificator330405


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