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Adaptive Feature Selection for End-to-End Speech Translation
Information in speech signals is not evenly distributed, making it an ad...
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Dynamic Masking for Improved Stability in Spoken Language Translation
For spoken language translation (SLT) in live scenarios such as conferen...
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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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PMIndia – A Collection of Parallel Corpora of Languages of India
Parallel text is required for building high-quality machine translation ...
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Translationese in Machine Translation Evaluation
The term translationese has been used to describe the presence of unusua...
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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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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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Regularization techniques for fine-tuning in neural machine translation
We investigate techniques for supervised domain adaptation for neural ma...
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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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HUME: Human UCCA-Based Evaluation of Machine Translation
Human evaluation of machine translation normally uses sentence-level mea...
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Linguistic Input Features Improve Neural Machine Translation
Neural machine translation has recently achieved impressive results, whi...
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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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