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An Overview of the SEBAMAT Project
SEBAMAT (semantics-based MT) is a Marie Curie project intended to con-tribute to the state of the art in machine translation (MT).
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources
To improve translation quality, a hybridized solution is proposed, using an ensemble of relatively simple NMT systems trained with different metrics, combined with an open source module, designed for a low-resource MT system.
Linguistically Inspired Language Model Augmentation for MT
The present article reports on efforts to improve the translation accuracy of a corpus―based Machine Translation (MT) system.
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