Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

EMNLP 2018 Biao ZhangDeyi XiongJinsong SuQian LinHuiji Zhang

In this paper, we propose an additionsubtraction twin-gated recurrent network (ATR) to simplify neural machine translation. The recurrent units of ATR are heavily simplified to have the smallest number of weight matrices among units of all existing gated RNNs... (read more)

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