A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/76093
Registro completo de metadatos
Registro completo de metadatos
Campo DCValorIdioma
dc.contributor.authorSpeerstra, Nander-
dc.date.accessioned2018-05-31T10:32:11Z-
dc.date.available2018-05-31T10:32:11Z-
dc.date.issued2018-
dc.identifier.citationSpeerstra, Nander. “A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study”. In: Pérez-Ortiz, Juan Antonio, et al. (Eds.). Proceedings of the 21st Annual Conference of the European Association for Machine Translation: 28-30 May 2018, Universitat d'Alacant, Alacant, Spain, pp. 315-321es_ES
dc.identifier.isbn978-84-09-01901-4-
dc.identifier.urihttp://hdl.handle.net/10045/76093-
dc.description.abstractOver the last 4 years, Infor has been implementing machine translation (MT) in its translation process. In this paper, the results of both statistical and neural MT projects are provide to give an insight in the advantages and disadvantages of MT use in a large company. We also offer a look into the future of MT within our company and to strengthen the implementation of MT in our translation process.es_ES
dc.languageenges_ES
dc.publisherEuropean Association for Machine Translationes_ES
dc.rights© 2018 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works, attribution, CC-BY-ND.es_ES
dc.subjectMachine Translationes_ES
dc.subject.otherLenguajes y Sistemas Informáticoses_ES
dc.titleA Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Studyes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.peerreviewedsies_ES
dc.relation.publisherversionhttp://eamt2018.dlsi.ua.es/proceedings-eamt2018.pdfes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Aparece en las colecciones:EAMT2018 - Proceedings

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
ThumbnailEAMT2018-Proceedings_36.pdf1,49 MBAdobe PDFAbrir Vista previa


Este ítem está licenciado bajo Licencia Creative Commons Creative Commons