The TALP–UPC Spanish–English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System
Marta R. Costa‐jussà, Cristina España-Bonet, Pranava Madhyastha, Carlos Escolano, José A. R. Fonollosa · 2016
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.