The Impact of Statistical Word Alignment Quality and Structure in Phrase Based Statistical Machine Translation

dc.contributorDr. Leonardo Garrido Luna
dc.contributorDr. Stephan Vogel
dc.creatorGUZMAN HERRERA, FRANCISCO JAVIER; 212325
dc.creatorGuzmán Herrera, Francisco Javier
dc.date.accessioned2015-08-17T11:35:18Z
dc.date.accessioned2022-10-13T19:33:14Z
dc.date.available2015-08-17T11:35:18Z
dc.date.available2022-10-13T19:33:14Z
dc.date.created2015-08-17T11:35:18Z
dc.date.issued2011-01-12
dc.identifierhttp://hdl.handle.net/11285/572561
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4206354
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.languageeng
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterrey
dc.relationversión publicada
dc.relationREPOSITORIO NACIONAL CONACYT
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.rightsopenAccess
dc.titleThe Impact of Statistical Word Alignment Quality and Structure in Phrase Based Statistical Machine Translation
dc.typeTesis Doctorado / doctoral Thesis


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