Creating auto adaptive language pairs
Steps to create a new auto adaptive language pair.
Before you begin
- You understand the auto generated name of the auto adaptive language pair. See Understanding adapted and auto adaptive language pair names.
- Standard deployment:
- You have added a training engine to the same host as the generic language pair that you will use as a baseline to create the new auto adaptive language pair. You can create an auto adaptive language pair only if you already have a corresponding generic language pair on the host.
- You have started the training engine.
- Kubernetes deployment:
- You have added a training engine to the Kubernetes cluster by changing the default number of replicas for the training engines to 1. See Changing the number of training engines.
- The generic language pair that you will use as a baseline to create the new auto adaptive language pair is already deployed in the language pair storage. You can create an auto adaptive language pair only if you already have a corresponding generic language pair in the language pair storage. See Installing new language pairs.
- You have deployed the placeholder translation engine. The engine must be available before deploying the auto adaptive model. See Understanding placeholder language pair engines.
- You have cleaned the data and prepared the
*.tmxfile or files that will be used for the training. - (Optional) You have cleaned the data and prepared the
*.tmxfile that will be used for the testing.