In the last chapter, we talked about document classification, and a special case of document classification called sentiment classification. In doing so, we got to talk quite a bit about vectorization.

In this chapter, we're going to keep talking about solving NLP problems, but instead of classifying, we're going to generate new sequences of words.

We will cover the following topics in this chapter:

• Sequence-to-sequence models
• Machine translation