The Challenge of Machine Translation Post-editing: An Academic Perspective

dc.contributor.authorRico Pérez, Celia
dc.contributor.authorSánchez Gijón, Pilar
dc.contributor.authorTorres Hostench, Olga
dc.date.accessioned2019-05-20T08:52:49Z
dc.date.available2019-05-20T08:52:49Z
dc.date.issued2018
dc.description.abstractThe emergence of machine translation (mt) in professional translation practice has evolved from a topic of conversation among practitioners to promote a tangible change in the translation industry. The aim of this chapter is, then, to shed light on mt in professional and academic contexts by promoting a fresh approach to teaching using translation technology, and dealing with the needs and expectations of translators. Our work stems from considering the following key question: if the translation industry already considers post-editing as a viable service for almost any translation area, how should the academic world respond to this challenge? This question is addressed from three perspectives: (a) the evolution of translation technology and how post-editing has had an impact on the industry; (b) academic research paths in post-editing; and (c) training post-editors in a higher education context.spa
dc.description.filiationUEMspa
dc.description.impactNo data (2018)spa
dc.description.sponsorshipSin financiaciónspa
dc.identifier.citationRico, C., Sánchez-Gijón, P., & Torres-Hostench, O. (2018). The Challenge of Machine Translation Post-editing: An Academic Perspective. In Trends in E-Tools and Resources for Translators and Interpreters (pp. 203-218). Netherlands: Brill.spa
dc.identifier.doi10.1163/9789004351790
dc.identifier.isbn9789004351790
dc.identifier.urihttp://hdl.handle.net/11268/7952
dc.language.isoengspa
dc.peerreviewedSispa
dc.publisherBrillspa
dc.rights.accessRightsrestricted accessspa
dc.subject.uemTraducción automáticaspa
dc.subject.unescoTraducción automáticaspa
dc.titleThe Challenge of Machine Translation Post-editing: An Academic Perspectivespa
dc.typebook partspa
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoverybd630fda-0d18-421e-8f0c-683dca0c4852

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