The training process is the step when the machine learns from the corpora. This can happen when you create a new engine, but you can also retrain your existing engines after certain milestones, for example when a project has finished. The process is similar to the continuous improvement of Translation Memories: with every segment added to your engine, it will produce better results.
Training a new engine
Upload the corpora you want to build your engine from. These are typically TMX files, but you can also use TBX, CSV, TSV, or even translated CAT tool files with confirmed segments.
Create a new engine and choose which corpora you want to include.
Click the Train button.
When training finishes, the engine is ready for translation.
Retraining an existing engine
Upload the corpora you want to add to the engine.
Edit the engine, change the included corpora as desired, and save it.
The status of the engine will change to Changed.
Click the Train button.
For domain-adapted custom engines where only the master corpora have been changed, you can choose between two modes of training.
While an engine is being retrained, it can still be used for translation.
Training queue
Engines sent to training may or may not spend some time in the training queue if you are using Globalese in the cloud, depending on the number of engines already queued by other users.