Neural machine translation for low-resource languages

18 Aug 2017Robert ÖstlingJörg Tiedemann

Neural machine translation (NMT) approaches have improved the state of the art in many machine translation settings over the last couple of years, but they require large amounts of training data to produce sensible output. We demonstrate that NMT can be used for low-resource languages as well, by introducing more local dependencies and using word alignments to learn sentence reordering during translation... (read more)

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