From the last two lines in Table 1, we can see that RNNSearch-Mono-Autoencoder can also improve the translation quality by more than 1.0 BLEU points when using the most related monolingual data.
in this work, we investigate the usage of the source-side large-scale monolingual data in NMT and aim at greatly enhancing its encoder network so that we can obtain high quality context vector representations.