A recurrent language model instead models the full joint distribution of output sequences without having to make independence assumptions x 1 , z).
adding a recurrent layer on top of our fully feed-forward encoder-decoder architecture relieves it from encoding every aspect of a text fragment into the latent vector and allows it to instead focus on more high-level semantic and stylistic features.