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Language Model Prior for Low-Resource Neural Machine Translation
The scarcity of large parallel corpora is an important obstacle for neur...
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Bridging linguistic typology and multilingual machine translation with multi-view language representations
Sparse language vectors from linguistic typology databases and learned e...
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Toward Making the Most of Context in Neural Machine Translation
Document-level machine translation manages to outperform sentence level ...
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A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
Translation into morphologically-rich languages challenges neural machin...
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Findings of the Third Workshop on Neural Generation and Translation
This document describes the findings of the Third Workshop on Neural Gen...
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On the Importance of Word Boundaries in Character-level Neural Machine Translation
Neural Machine Translation (NMT) models generally perform translation us...
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The University of Edinburgh's Submissions to the WMT19 News Translation Task
The University of Edinburgh participated in the WMT19 Shared Task on New...
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Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting
A popular application of machine translation (MT) is gisting: MT is cons...
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Findings of the Second Workshop on Neural Machine Translation and Generation
This document describes the findings of the Second Workshop on Neural Ma...
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Marian: Fast Neural Machine Translation in C++
We present Marian, an efficient and self-contained Neural Machine Transl...
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Evaluating Discourse Phenomena in Neural Machine Translation
For machine translation to tackle discourse phenomena, models must have ...
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The University of Edinburgh's Neural MT Systems for WMT17
This paper describes the University of Edinburgh's submissions to the WM...
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Deep Architectures for Neural Machine Translation
It has been shown that increasing model depth improves the quality of ne...
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Nematus: a Toolkit for Neural Machine Translation
We present Nematus, a toolkit for Neural Machine Translation. The toolki...
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Predicting Target Language CCG Supertags Improves Neural Machine Translation
Neural machine translation (NMT) models are able to partially learn synt...
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HUME: Human UCCA-Based Evaluation of Machine Translation
Human evaluation of machine translation normally uses sentence-level mea...
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Edinburgh Neural Machine Translation Systems for WMT 16
We participated in the WMT 2016 shared news translation task by building...
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Improving Neural Machine Translation Models with Monolingual Data
Neural Machine Translation (NMT) has obtained state-of-the art performan...
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Neural Machine Translation of Rare Words with Subword Units
Neural machine translation (NMT) models typically operate with a fixed v...
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