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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, Fundaciķ i2CAT, Imaxin, Semantix, Translendium SL and eu.wikipedia.
IXA taldea - EHU-UPV
Tesia: Bertso-neurketa automatikoa (Manex Agirrezabal, 2017-06-19) 2017-Eka-15
Tesia: Euskarazko osasun-terminoen sorkuntza automatikoa (Olatz Perez de Viņaspre, 2017-06-19) 2017-Eka-15
Itzulpengintza automatiko neuronala. Jardunaldi irekia Kyunghyun Cho adituarekin (2017-05-29) 2017-Mai-16
IKERGAZTE sari bat Begoņa Altunari 2017-Mai-16
IXA-ko berri gehiago ikusi
TALP Talk: Generative adversarial networks (GAN) applied to Speech Enhancement
Neural Machine Translation
Deep Dive in Deep Learning with TensorFlow
Mapping Unseen Words to Task-Trained Embedding Spaces
UPC-ko berri gehiago ikusi