Overview: Create and use a machine translation model.

An overview of the steps required to create and use a machine translation model.

This page will describe the steps at a high level to give a quick overview. The other pages go into more detail about each step. The work of creating a model can be split into three main parts:

1. Preparation of the machine learning platform.
2. Collection and cleaning of the corpus.
3. Configuration, training and testing of the model.

Using the model, or putting it into a production environment isn't discussed here (yet). If we gain insights as we use the model and experiments we've created we may share those here too.