Neural versus Phrase-Based Machine Translation Quality: a Case Study

EMNLP 2016 Luisa BentivogliArianna BisazzaMauro CettoloMarcello Federico

Within the field of Statistical Machine Translation (SMT), the neural approach (NMT) has recently emerged as the first technology able to challenge the long-standing dominance of phrase-based approaches (PBMT). In particular, at the IWSLT 2015 evaluation campaign, NMT outperformed well established state-of-the-art PBMT systems on English-German, a language pair known to be particularly hard because of morphology and syntactic differences... (read more)

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