Word's Vector Representations meet Machine Translation
Eva Martínez García, Jörg Tiedemann, Cristina España-Bonet, Lluı́s Màrquez · 2014
Distributed vector representations of words are useful in various NLP tasks. We briefly review the CBOW approach and propose a bilingual application of this architecture with the aim to improve consistency and coherence of Machine Translation. The primary goal of the bilin-gual extension is to handle ambiguous words for which the different senses are conflated in the monolingual setup. 1