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The aim of the project OpenMT-2 is to foster research in Machine Translation (MT) technology in order to generate robust, high-quality combined MT systems and improved evaluation metrics and methodologies. OpenMT-2 builds on the previous research carried out in the framework of the 2006-2008 OpenMT project (TIN2006-15307-C03-01). Current results in OpenMT are very satisfactory, and we foresee that further research on the basic working lines and also on some new research paths can provide much better results. The research in OpenMT-2 would be carried out in 5 main areas:
We will test the functionality of the new developed MT technology and systems with four different languages: English, Spanish, Catalan and Basque. Also, systems will be applied in different contexts (i.e., different corpora domains and genres).
The main innovative points of the proposal are:
The consortium is composed by two universities: University of the Basque Country (UPV/EHU), Technical University of Catalonia (UPC), and a non-profit research centre: Elhuyar. Several companies and foundations with activities in closely related areas will serve as supervision EPOs for the project: Eleka, Fundació i2CAT, Imaxin, Semantix, Translendium SL and eu.wikipedia.
IXA taldea - EHU-UPV
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IXA-ko berri gehiago ikusi
20/07/2016 - Anna Raboshchuck PhD Dissertation
PhD scholarship on Deep Learning applied to Speech Technologies
Joan Bruna & Oriol Vinyals Seminar on Deep Learning
27/04/2016 - Hermann Ney - Human Language Technology and Machine Learning
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