106 citations · 785 across the 59 of their papers we have counts for
9 papers · 1 filter
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method
Yutong Shao, Rico Sennrich, Bonnie Webber +1
Idiom translation is a challenging problem in machine translation because the meaning of idioms is non-compositional, and a literal (word-by-word) translation is likely to be wrong…
Evaluating Discourse Phenomena in Neural Machine Translation
Rachel Bawden, Rico Sennrich, Alexandra Birch +1
For machine translation to tackle discourse phenomena, models must have access to extra-sentential linguistic context. There has been recent interest in modelling context in neural…
The University of Edinburgh's Neural MT Systems for WMT17
Rico Sennrich, Alexandra Birch, Anna Currey +5
This paper describes the University of Edinburgh's submissions to the WMT17 shared news translation and biomedical translation tasks. We participated in 12 translation directions f…
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…
Image Pivoting for Learning Multilingual Multimodal Representations
Spandana Gella, Rico Sennrich, Frank Keller +1
In this paper we propose a model to learn multimodal multilingual representations for matching images and sentences in different languages, with the aim of advancing multilingual v…
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…
Predicting Target Language CCG Supertags Improves Neural Machine Translation
Maria Nadejde, Siva Reddy, Rico Sennrich +4
Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepo…