Alexandra Birch

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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...
04/30/2020 ∙ by Christos Baziotis, et al. ∙ 0 ∙ share

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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...
04/30/2020 ∙ by Arturo Oncevay, et al. ∙ 0 ∙ share

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Toward Making the Most of Context in Neural Machine Translation

Document-level machine translation manages to outperform sentence level ...
02/19/2020 ∙ by Zaixiang Zheng, et al. ∙ 0 ∙ share

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A Latent Morphology Model for Open-Vocabulary Neural Machine Translation

Translation into morphologically-rich languages challenges neural machin...
10/30/2019 ∙ by Duygu Ataman, et al. ∙ 0 ∙ share

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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...
10/29/2019 ∙ by Hiroaki Hayashi, et al. ∙ 0 ∙ share

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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...
10/15/2019 ∙ by Duygu Ataman, et al. ∙ 0 ∙ share

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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...
07/12/2019 ∙ by Rachel Bawden, et al. ∙ 0 ∙ share

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

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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...
06/08/2018 ∙ by Alexandra Birch, et al. ∙ 0 ∙ share

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Marian: Fast Neural Machine Translation in C++

We present Marian, an efficient and self-contained Neural Machine Transl...
04/01/2018 ∙ by Marcin Junczys-Dowmunt, et al. ∙ 0 ∙ share

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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

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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...
08/02/2017 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

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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

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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

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Predicting Target Language CCG Supertags Improves Neural Machine Translation

Neural machine translation (NMT) models are able to partially learn synt...
02/03/2017 ∙ by Maria Nădejde, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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Alexandra Birch

Featured Co-authors

Kyunghyun Cho

Graham Neubig

Rico Sennrich

Ondřej Bojar

Lucia Specia

Orhan Firat

Jiajun Chen

Shujian Huang

Omri Abend

Minh-Thang Luong

Marcello Federico

Language Model Prior for Low-Resource Neural Machine Translation

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

Toward Making the Most of Context in Neural Machine Translation

A Latent Morphology Model for Open-Vocabulary Neural Machine Translation

Findings of the Third Workshop on Neural Generation and Translation

On the Importance of Word Boundaries in Character-level Neural Machine Translation

The University of Edinburgh's Submissions to the WMT19 News Translation Task

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

Findings of the Second Workshop on Neural Machine Translation and Generation

Marian: Fast Neural Machine Translation in C++

Evaluating Discourse Phenomena in Neural Machine Translation

The University of Edinburgh's Neural MT Systems for WMT17

Deep Architectures for Neural Machine Translation

Nematus: a Toolkit for Neural Machine Translation

Predicting Target Language CCG Supertags Improves Neural Machine Translation

HUME: Human UCCA-Based Evaluation of 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