A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study
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Campo DC | Valor | Idioma |
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dc.contributor.author | Speerstra, Nander | - |
dc.date.accessioned | 2018-05-31T10:32:11Z | - |
dc.date.available | 2018-05-31T10:32:11Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Speerstra, 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. 315-321 | es_ES |
dc.identifier.isbn | 978-84-09-01901-4 | - |
dc.identifier.uri | http://hdl.handle.net/10045/76093 | - |
dc.description.abstract | Over 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.language | eng | es_ES |
dc.publisher | European Association for Machine Translation | es_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.subject | Machine Translation | es_ES |
dc.subject.other | Lenguajes y Sistemas Informáticos | es_ES |
dc.title | A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.peerreviewed | si | es_ES |
dc.relation.publisherversion | http://eamt2018.dlsi.ua.es/proceedings-eamt2018.pdf | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
Aparece en las colecciones: | EAMT2018 - Proceedings |
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EAMT2018-Proceedings_36.pdf | 1,49 MB | Adobe PDF | Abrir Vista previa | |
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