Data Augmentation to Low-Resource Languages Approach: Galician case

dc.contributor.advisor	Rigau Claramunt, Germán
dc.contributor.advisor	Pichel Campos, José Ramom
dc.contributor.author	García González, Sofía
dc.date.accessioned	2023-06-30T14:46:18Z
dc.date.available	2023-06-30T14:46:18Z
dc.date.issued	2023-06-30
dc.identifier.uri	http://hdl.handle.net/10810/61816
dc.description.abstract	In this Final Thesis, two proposals for data augmentation have been made for the training of two bilingual translation models in Spanish-Galician and English-Galician from parallel corpora of Portuguese. One of the proposals for adapting Portuguese to Galician has been transliteration and the other translation with Apertium RBMT. The results obtained have been promising in the English-Galician pair and leave the door open for future research.	es_ES
dc.language.iso	eng	es_ES
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	machine translation	es_ES
dc.subject	data augmentation
dc.subject	transliteration
dc.title	Data Augmentation to Low-Resource Languages Approach: Galician case	es_ES
dc.type	info:eu-repo/semantics/masterThesis
dc.date.updated	2022-02-11T10:47:13Z
dc.language.rfc3066	es
dc.rights.holder	© 2022, la autora
dc.contributor.degree	Máster Universitario en Análisis y Procesamiento del Lenguaje
dc.contributor.degree	Hizkuntzaren Azterketa eta Prozesamendua Unibertsitate Masterra
dc.identifier.gaurregister	120239-931411-05	es_ES
dc.identifier.gaurassign	131931-931411	es_ES