generalizing it to sentences and it's using an RN end to kind of learn to summarize the context of the long sequence and handle kind of predicting complex dependencies between multiple words so we encode that center sentence with an RNN we iterate over it in the left-to-right fashion and then we have Anna linguish model that predicts the previous sentence so what might have happened before the sentence and then a language model that also predicts the suffix sentence that comes after it so what they then do is they say well