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

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Título:	A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study
Autor/es:	Speerstra, Nander
Palabras clave:	Machine Translation
Área/s de conocimiento:	Lenguajes y Sistemas Informáticos
Fecha de publicación:	2018
Editor:	European Association for Machine Translation
Cita bibliográfica:	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
Resumen:	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.
URI:	http://hdl.handle.net/10045/76093
ISBN:	978-84-09-01901-4
Idioma:	eng
Tipo:	info:eu-repo/semantics/conferenceObject
Derechos:	© 2018 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works, attribution, CC-BY-ND.
Revisión científica:	si
Versión del editor:	http://eamt2018.dlsi.ua.es/proceedings-eamt2018.pdf
Aparece en las colecciones:	EAMT2018 - Proceedings

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