Author - Globalese Team

Globalese 3.5 released

The major addition in this release is the ability to use stock corpora as the foundation for training engines in the cloud. Read more about stock corpora in this blog post.

Changes

Core corpora have been renamed to master corpora. It is now mandatory for engines to...

Globalese 3.3 released

Globalese 3.3 introduces the concept of engine health. The idea behind it is to prevent cases where you have old engines hanging around, when you could increase their output quality simply by retraining them on the same corpora. As always, we are trying to keep it...

Globalese 3.2 released

Globalese 3.2 is all about version 2.1 of the Globalese API. The new API endpoints introduced in v2.1 let users automate corpus management and engine creation and training. Paginated results are also available for listing queries. Other improvements include: Improved corpus pre-processing guarantees better engine training...

Globalese 3.1 released

Globalese 3.1 introduces the concept of augmented in-domain engines trained from core and auxiliary corpora. Minor improvements: Better feedback for misconfigured SmartCAT and Memsource connectors. Improved user guidance when training small engines. Users can now see engine IDs and group IDs directly on an engine page to help...

Globalese 3.0 released

We are very happy to announce the release of Globalese 3, which uses neural machine learning technology to deliver MT quality unseen before. Corpora management and the engine creation process have both been simplified. Upload, pick, train! CAT tool integration options now include a connector to...

Connector for memoQ server 8

Globalese 3.0 beta now includes a connector to memoQ server version 8.1.4 or higher. memoQ server versions 6 and 7 are still supported.