New Trends in Machine Translation.

dc.contributor.authorMartín de Santa Olalla Sánchez, Aurora
dc.contributor.authorRico Pérez, Celia
dc.date.accessioned2025-11-06T15:17:36Z
dc.date.available2025-11-06T15:17:36Z
dc.date.created1997
dc.date.issued1997
dc.description.abstractThis article offers a general overview of current methods in corpus-based MT. It first presents corpus linguistics as the discipline from which new research methods have sprung up and deals with aspects such as corpus annotation and alignment. It introduces both examplebased and statistics-based MT from a general perspective, and finally advocates these methods as a realistic approach to ¿¿.es_ES
dc.description.curso1997es_ES
dc.formatapplication/pdfes_ES
dc.identifier.dl1997
dc.identifier.locationN/Aes_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12080/50881
dc.languageenges_ES
dc.publisherLes Presses de l¿Université de Montréales_ES
dc.rightsCopyrightes_ES
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rights.uriN/Aes_ES
dc.sourceMeta: Translators¿ Journales_ES
dc.titleNew Trends in Machine Translation.es_ES
dc.typeArtículoes_ES

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