Erroreak automatikoki detektatzeko tekniken azterlana eta euskararentzako aplikazioak

dc.contributor.author	Oronoz Anchordoqui, Maite
dc.contributor.author	Díaz de Ilarraza Sánchez, Arantza
dc.contributor.author	Gojenola Galletebeitia, Koldobika
dc.date.accessioned	2020-12-28T10:05:16Z
dc.date.available	2020-12-28T10:05:16Z
dc.date.issued	2009
dc.identifier.citation	Anuario del Seminario de Filología Vasca Julio de Urquijo 43(1-2) : 679-706 (2009)
dc.identifier.issn	0582-6152
dc.identifier.uri	http://hdl.handle.net/10810/49461
dc.description.abstract	In this article, we study the techniques used for detecting errors in Natural Language Processing (NLP). We classify the techniques according to their approach (symbolic or empirical), and then we describe them in depth. Following that, we describe the systems we have developed for detecting syntactic errors in Basque, by using that technique as a criterion for the classification of those systems, and enhancing it with examples.
dc.language.iso	eus
dc.publisher	Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Erroreak automatikoki detektatzeko tekniken azterlana eta euskararentzako aplikazioak
dc.type	info:eu-repo/semantics/article
dc.rights.holder	© 2009, Servicio Editorial de la Universidad del País Vasco Euskal Herriko Unibertsitateko Argitalpen Zerbitzua