Modeling Word Formation in English–German Neural Machine Translation
Marion Weller-Di Marco, Alexander Fraser · 2020
This paper studies strategies to model word formation in NMT using rich linguistic information, namely a word segmentation approach that goes beyond splitting into substrings by considering fusional morphology.Our linguistically sound segmentation is combined with a method for target-side inflection to accommodate modeling word formation.The best system variants employ source-side morphological analysis and model complex target-side words, improving over a standard system.