Barry Haddow

is this you? claim profile

0 followers

Adaptive Feature Selection for End-to-End Speech Translation

Information in speech signals is not evenly distributed, making it an ad...
10/16/2020 ∙ by Biao Zhang, et al. ∙ 15 ∙ share

read it
Dynamic Masking for Improved Stability in Spoken Language Translation

For spoken language translation (SLT) in live scenarios such as conferen...
05/30/2020 ∙ by Yuekun Yao, et al. ∙ 0 ∙ share

read it
Language Model Prior for Low-Resource Neural Machine Translation

The scarcity of large parallel corpora is an important obstacle for neur...
04/30/2020 ∙ by Christos Baziotis, et al. ∙ 0 ∙ share

read it
Bridging linguistic typology and multilingual machine translation with multi-view language representations

Sparse language vectors from linguistic typology databases and learned e...
04/30/2020 ∙ by Arturo Oncevay, et al. ∙ 0 ∙ share

read it
PMIndia – A Collection of Parallel Corpora of Languages of India

Parallel text is required for building high-quality machine translation ...
01/27/2020 ∙ by Barry Haddow, et al. ∙ 0 ∙ share

read it
Translationese in Machine Translation Evaluation

The term translationese has been used to describe the presence of unusua...
06/24/2019 ∙ by Yvette Graham, et al. ∙ 0 ∙ share

read it
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...
09/02/2018 ∙ by Mikel L. Forcada, et al. ∙ 0 ∙ share

read it
Evaluating Discourse Phenomena in Neural Machine Translation

For machine translation to tackle discourse phenomena, models must have ...
11/01/2017 ∙ by Rachel Bawden, et al. ∙ 0 ∙ share

read it
The University of Edinburgh's Neural MT Systems for WMT17

This paper describes the University of Edinburgh's submissions to the WM...
08/02/2017 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

read it
Regularization techniques for fine-tuning in neural machine translation

We investigate techniques for supervised domain adaptation for neural ma...
07/31/2017 ∙ by Antonio Valerio Miceli Barone, et al. ∙ 0 ∙ share

read it
Deep Architectures for Neural Machine Translation

It has been shown that increasing model depth improves the quality of ne...
07/24/2017 ∙ by Antonio Valerio Miceli Barone, et al. ∙ 0 ∙ share

read it
Nematus: a Toolkit for Neural Machine Translation

We present Nematus, a toolkit for Neural Machine Translation. The toolki...
03/13/2017 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

read it
HUME: Human UCCA-Based Evaluation of Machine Translation

Human evaluation of machine translation normally uses sentence-level mea...
06/30/2016 ∙ by Alexandra Birch, et al. ∙ 0 ∙ share

read it
Linguistic Input Features Improve Neural Machine Translation

Neural machine translation has recently achieved impressive results, whi...
06/09/2016 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

read it
Edinburgh Neural Machine Translation Systems for WMT 16

We participated in the WMT 2016 shared news translation task by building...
06/09/2016 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

read it
Improving Neural Machine Translation Models with Monolingual Data

Neural Machine Translation (NMT) has obtained state-of-the art performan...
11/20/2015 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

read it
Neural Machine Translation of Rare Words with Subword Units

Neural machine translation (NMT) models typically operate with a fixed v...
08/31/2015 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

read it

Barry Haddow

Featured Co-authors

Kyunghyun Cho

Ivan Titov

Rico Sennrich

Ondřej Bojar

Orhan Firat

Lucia Specia

Omri Abend

Biao Zhang

Marcin Junczys-Dowmunt

Alexandra Birch

Philipp Koehn

Adaptive Feature Selection for End-to-End Speech Translation

Dynamic Masking for Improved Stability in Spoken Language Translation

Language Model Prior for Low-Resource Neural Machine Translation

Bridging linguistic typology and multilingual machine translation with multi-view language representations

PMIndia – A Collection of Parallel Corpora of Languages of India

Translationese in Machine Translation Evaluation

Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting

Evaluating Discourse Phenomena in Neural Machine Translation

The University of Edinburgh's Neural MT Systems for WMT17

Regularization techniques for fine-tuning in neural machine translation

Deep Architectures for Neural Machine Translation

Nematus: a Toolkit for Neural Machine Translation

HUME: Human UCCA-Based Evaluation of Machine Translation

Linguistic Input Features Improve Neural Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

Improving Neural Machine Translation Models with Monolingual Data

Neural Machine Translation of Rare Words with Subword Units