Project researcher Víctor M. Sánchez-Cartagena represented the Abu-MaTran consortium at the Machine Translation shared task of the First Conference on Machine Translation (WMT 16), co-located with ACL. Our submission ranked first for the language pair in which we participated: English-to-Finnish.
Víctor presented the systems submitted by the Abu-MaTran consortium to the Machine Translation shared task. We applied morphological segmentation and deep learning in order to address (i) the data scarcity problem caused by the lack of in-domain parallel data in the constrained task and (ii) the complex morphology of Finnish. Our neural machine translation and system combination submissions were the top performing English-to-Finnish constrained submissions according to all automatic metrics and human evaluation.