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This paper explores the potential for an- notating and enriching data for low-density languages via the alignment and projec- tion of syntactic structure from parsed data for resource-rich languages such …...

In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statistical Ma- chine Translation (SMT). SAMT …...

AbstractRecent progress in hardware and methodology for training neural networks has ushered in a new generation of large networks trained on abundant data. These models have obtained notable gains in …...