59 citations · 91 across the 9 of their papers we have counts for
7 papers · 1 filter
Survey of Low-Resource Machine Translation
Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone +2
We present a survey covering the state of the art in low-resource machine translation research. There are currently around 7000 languages spoken in the world and almost all languag…
The University of Edinburgh's Submissions to the WMT19 News Translation Task
Rachel Bawden, Nikolay Bogoychev, Ulrich Germann +4
The University of Edinburgh participated in the WMT19 Shared Task on News Translation in six language directions: English-to-Gujarati, Gujarati-to-English, English-to-Chinese, Chin…
Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann +1
We investigate techniques for supervised domain adaptation for neural machine translation where an existing model trained on a large out-of-domain dataset is adapted to a small in-…
Deep Architectures for Neural Machine Translation
Antonio Valerio Miceli Barone, Jindřich Helcl, Rico Sennrich +2
It has been shown that increasing model depth improves the quality of neural machine translation. However, different architectural variants to increase model depth have been propos…
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation
Antonio Valerio Miceli Barone, Rico Sennrich
Automated documentation of programming source code and automated code generation from natural language are challenging tasks of both practical and scientific interest. Progress in…
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich, Orhan Firat, Kyunghyun Cho +8
We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been used to build top-pe…