AutoML Translation lets you create custom translation models. These custom models return results from translation queries that are specific to your domain.
If you don't need a custom model solution, the Translation API provides translations for over 100 languages.
In this section
- Before you begin - Information on setting up a Google Cloud project that you can use with AutoML Translation.
- Preparing your training data - Information on preparing and formatting training data for AutoML Translation.
- Creating datasets, training models, and evaluating results - How to complete the main steps in creating your custom model.
- Translating content - Using your custom model to translate content.
- REST Reference
- RPC Reference
You can view discussions and post questions and feedback to the AutoML Translation discussion group.