Author: Jūlija Meļņika

Code and documentation on Marian usage with factors have been published. With this improvement user now is able to train a model with source and/or target-side factors. Factors carry side information about a token in the sentence, which can be used for a variety of purposes including implementing forced translation. In neural machine translation, factors …

Project results – Implementation of Factored TranslationRead More »

The website of the User focused Marian project was launched on 20 April 2020. In its first version, this website provides a basic overview of the project, activities it plans to run and planned releases. In the future it is also planned to publish regular report on the project progress and events. To stay updated come …

Project website launchedRead More »

We are pleased to announce that the CEF Telecom Project User Focused Marian has been officially launched with a successful kick-off meeting. The University of Edinburgh, Unbabel and Tilde will work towards improving the open-source Marian neural automated translation toolkit. Marian is already widely used in production by eTranslation, Microsoft Translator, World Intellectual Property Organization, …

Project kick-offRead More »