Figure 1: First part of recurrent neural network based quality estimation model for generating quality vectors<cite> (Kim and Lee, 2016)</cite> sentences as inputs, 2 2) apply bidirectional RNNs both on source and target sentences, which enable to fully utilize the bidirectional quality information, and 3) generate quality vectors for target words as outputs.