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Portuguese translators' attitude to MT and its impact on their profession

dc.contributor.authorBrogueira, João
dc.date.accessioned2024-05-07T14:50:34Z
dc.date.available2024-05-07T14:50:34Z
dc.date.issued2023-12-21
dc.description.abstractAdvances in Neural Machine Translation in recent years have brought these systems closer to delivering on the promise of universal, instant translatability. Magnified by the release of successive iterations of generative AI systems, recent news heralds both a new era for translation and the obsolescence of the translator. Drawing on data from recent language industry surveys produced by national and international organizations, as well as a specific survey on the Portuguese market with a longitudinal dimension, this paper seeks to determine the impact of technology, particularly MT, on the perceptions of translators and their career choices. The findings indicate that MT is widely used in the industry, but only a third of MT users rate their experience as positive. MT projects most frequently involve human participation as post-editors. MT is seen as having improved despite several shortcomings. However, greater incorporation of technology is seen as considerably reducing satisfaction and potentially triggering significant attrition. Knowledge of MT and first-hand experience are seen as positively influencing attitudes towards MT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.issn2730-0757
dc.identifier.urihttp://hdl.handle.net/10400.14/44932
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectTranslation technologypt_PT
dc.subjectMachine translationpt_PT
dc.subjectWorking conditionspt_PT
dc.subjectTranslator trainingpt_PT
dc.subjectAttritionpt_PT
dc.titlePortuguese translators' attitude to MT and its impact on their professionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage35pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage24pt_PT
oaire.citation.titleL10N Journalpt_PT
oaire.citation.volume2pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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