Creating Sequence-to-Sequence Models

Since every RNN unit we use also has an output, we can train RNN sequences to predict other sequences of variable length. For this recipe, we will take advantage of this fact to create an English to German translation model.

Getting ready

For this recipe, we will attempt to build a language translation model to translate from English to German.

TensorFlow has a built-in model class for sequence-to-sequence training.We will illustrate how to train and use it on downloaded English–German sentences.The data we will use comes from a compiled ZIP file at http://www.manythings.org/, which compiles the data from the Tatoeba Project (http://tatoeba.org/home).This data is a tab-delimited English–German sentence translation. For example, a row might contain the sentence, hello. /t hallo.The data contains thousands of sentences of various lengths.

How to do it…

1. We start by loading the necessary libraries and starting a graph session:

   import os
   import string
   import requests...