New Trends in Machine Translation.

https://hdl.handle.net/20.500.12080/50881

dc.contributor.author	Martín de Santa Olalla Sánchez, Aurora
dc.contributor.author	Rico Pérez, Celia
dc.date.accessioned	2025-11-06T15:17:36Z
dc.date.available	2025-11-06T15:17:36Z
dc.date.created	1997
dc.date.issued	1997
dc.identifier.uri	https://hdl.handle.net/20.500.12080/50881
dc.description.abstract	This 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.format	application/pdf	es_ES
dc.language	eng	es_ES
dc.publisher	Les Presses de l¿Université de Montréal	es_ES
dc.rights	Copyright	es_ES
dc.rights.uri	N/A	es_ES
dc.source	Meta: Translators¿ Journal	es_ES
dc.title	New Trends in Machine Translation.	es_ES
dc.type	Artículo	es_ES
dc.description.curso	1997	es_ES
dc.rights.accessrights	info:eu-repo/semantics/closedAccess	es_ES
dc.identifier.dl	1997
dc.identifier.location	N/A	es_ES