Word's vector representations meet machine translation
Document typeConference lecture
PublisherAssociation for Computational Linguistics
Rights accessRestricted access - publisher's policy
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 bilingual extension is to handle ambiguous words for which the different senses are conflated in the monolingual setup.
CitationMartinez, E. [et al.]. Word's vector representations meet machine translation. A: Workshop on Syntax, Semantics and Structure in Statistical Translation. "Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation (SSST-8): EMNLP 2014, SIGMT, SIGLEX Workshop: 25 Oct 2014, Doha, Qatar". Doha: Association for Computational Linguistics, 2014, p. 132-134.