dc.contributor.advisor | Aranberri Monasterio, Nora | |
dc.contributor.author | Soler Uguet, Celia | |
dc.date.accessioned | 2023-06-30T15:12:43Z | |
dc.date.available | 2023-06-30T15:12:43Z | |
dc.date.issued | 2023-06-30 | |
dc.identifier.uri | http://hdl.handle.net/10810/61833 | |
dc.description.abstract | (EN) Given that Neural Machine Translation (NMT) systems have been proven to generate translations with a quality that is being regarded as close to that of a human, we believe it is the time to start paying attention to aspects of language that go beyond grammatical accuracy. In our research, we explore different approaches towards training a NMT system from English to Castilian Spanish with politeness control of the output and deal with the task as a domain-adaptation problem. Our results show that training a multi-register model to deal with different registers following Sennrich et al.’s approach (2016) is the best option when trying to find a balance between overall performance across different registers and types of segments as well as accuracy for producing the right honorific, while fine-tuning a baseline towards each specific register suffers from catastrophic forgetting, thus leading to a worse overall performance of such engines. | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | language | es_ES |
dc.subject | register | |
dc.subject | politeness | |
dc.subject | NMT | |
dc.subject | NLP | |
dc.subject | explicability | |
dc.subject | MT evaluation | |
dc.subject | multilingual | |
dc.subject | Castilian Spanish | |
dc.title | Politeness control as a domain adaptation problem in NMT: fine-tuning vs. multi-register models for Castilian Spanish | es_ES |
dc.type | info:eu-repo/semantics/masterThesis | |
dc.date.updated | 2022-06-13T10:39:34Z | |
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 | 123137-1018947-09 | es_ES |
dc.identifier.gaurassign | 137887-1018947 | es_ES |