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Statistical vs. Neural Machine Translation: A Comparison of MTH and DeepL at Swiss Post’s Language Service

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Published in Proceedings of the 40th Conference Translating and the Computer. London (United-Kingdom) - 15-16 November - . 2018, p. 145-150
Abstract This paper presents a study conducted in collaboration with Swiss Post’s Language Service that aims to compare the performance of a generic neural machine translation system (DeepL) and a customised statistical machine translation system (Microsoft Translator Hub, MTH) in terms of post-editing effort and quality of the final translation for the language direction German-to-French. The results for automatic and human evaluations show that DeepL is overall better than MTH, but its quality is underestimated by the BLEU score.
Keywords Machine translationNeural machine translationStatistical machine translationMicrosoft Translator HubDeepLEvaluationBLEUPost-editingSwiss Post
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ISBN: 978-2-9701095-5-6
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VOLKART, Lise, BOUILLON, Pierrette, GIRLETTI, Sabrina. Statistical vs. Neural Machine Translation: A Comparison of MTH and DeepL at Swiss Post’s Language Service. In: Proceedings of the 40th Conference Translating and the Computer. London (United-Kingdom). [s.l.] : [s.n.], 2018. p. 145-150. https://archive-ouverte.unige.ch/unige:111777

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Deposited on : 2018-12-03

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