Augmented in-domain engines

Extend your corpora by using less specific, but good quality language resources to overcome the problem of corpus shortage. Read more...

engine with core corpus

Automatic resource cleanup and normalization

All the resources uploaded to Globalese undergo a thorough technical cleanup, leaving only language- and content-related tasks to the resource managers.

When uploading a corpus, inline and formatting tags are stripped from the text and special characters are normalized.

When training an engine, the content of the corpora is filtered according to various criteria: whether the source text is the same as the target text, whether there is a length mismatch, and so on.


Background training

An engine can be used even during retraining. As soon as retraining finishes, Globalese automatically switches to the new version of the engine.