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Recolector de Ciencia Abierta, RECOLECTA
Master thesis . 2023
Data sources: Recolector de Ciencia Abierta, RECOLECTA
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ARCHIVO DIGITAL PARA LA DOCENCIA Y LA INVESTIGACION
Master thesis . 2023
Data sources: ARCHIVO DIGITAL PARA LA DOCENCIA Y LA INVESTIGACION
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Data Augmentation to Low-Resource Languages Approach: Galician case

descriptionPublicationkeyboard_double_arrow_right Master thesis 01 Jan 2023 Spain English
Authors: García González, Sofía;

handle: 10810/61816

Data Augmentation to Low-Resource Languages Approach: Galician case

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.

Country
Spain
Related Organizations
Keywords

transliteration, machine translation, data augmentation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green