The TALP–UPC Spanish–English WMT biomedical task: bilingual embeddings and char-based neural language model rescoring in a phrase-based system
Document typeConference report
Rights accessOpen Access
This paper describes the TALP–UPC system in the Spanish–English WMT 2016 biomedical shared task. Our system is a standard phrase-based system enhanced with vocabulary expansion using bilingual word embeddings and a characterbased neural language model with rescoring. The former focuses on resolving outof- vocabulary words, while the latter enhances the fluency of the system. The two modules progressively improve the final translation as measured by a combination of several lexical metrics.
CitationRuiz, M., España-i-Bonet, C., Madhyastha, P., Escolano, C., Fonollosa, J. A. R. The TALP–UPC Spanish–English WMT biomedical task: bilingual embeddings and char-based neural language model rescoring in a phrase-based system. A: Conference on Machine Translation. "ACL 2016 : the 54th Annual Meeting of the Association for Computational Linguistics : proceedings of the First Conference on Machine Translation (WMT)". 2016, p. 463-468.