Anna Currey

Multi-Source Syntactic Neural Machine Translation

2018 · arXiv (Cornell University)

We introduce a novel multi-source technique for incorporating source syntax into neural machine translation using linearized parses. This is achieved by employing separate encoders for the sequential and parsed versions of the same source sentence; …

The University of Edinburgh's Neural MT Systems for WMT17

2017

Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, Philip Williams. Proceedings of the Second Conference on Machine Translation. 2017.

Copied Monolingual Data Improves Low-Resource Neural Machine Translation

2017

We train a neural machine translation (NMT) system to both translate sourcelanguage text and copy target-language text, thereby exploiting monolingual corpora in the target language. Specifically, we create a bitext from the monolingual text in …