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Investigations on Translation Model Adaptation Using Monolingual Data
Patrik Lambert
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Holger Schwenk
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Christophe Servan
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Sadaf Abdul-Rauf
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu
|
Rui Wang
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Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
Marzieh Fadaee
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Christof Monz
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Understanding Back-Translation at Scale
Sergey Edunov
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Myle Ott
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Michael Auli
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David Grangier
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Toward Statistical Machine Translation without Parallel Corpora
Alexandre Klementiev
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Ann Irvine
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Chris Callison-Burch
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David Yarowsky
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Adapting Translation Models to Translationese Improves SMT
Gennadi Lembersky
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Noam Ordan
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Shuly Wintner
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Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
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Barry Haddow
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Alexandra Birch
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Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation
Praveen Dakwale
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Christof Monz
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LIUM’s SMT Machine Translation Systems for WMT 2011
Holger Schwenk
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Patrik Lambert
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Loïc Barrault
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Christophe Servan
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Sadaf Abdul-Rauf
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Haithem Afli
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Kashif Shah
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Towards Effective Use of Training Data in Statistical Machine Translation
Philipp Koehn
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Barry Haddow
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LIUM’s SMT Machine Translation Systems for WMT 2012
Christophe Servan
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Patrik Lambert
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Anthony Rousseau
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Holger Schwenk
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Loïc Barrault
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Adapting Neural Machine Translation with Parallel Synthetic Data
Mara Chinea-Ríos
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Álvaro Peris
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Francisco Casacuberta
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LMU Munich’s Neural Machine Translation Systems for News Articles and Health Information Texts
Matthias Huck
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Fabienne Braune
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Alexander Fraser
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LMU Munich’s Neural Machine Translation Systems at WMT 2018
Matthias Huck
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Dario Stojanovski
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Viktor Hangya
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Alexander Fraser
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http://snowball.tartarus.org/
http://matrix.statmt.org
Field Of Study
Task
Machine Translation
Language
English
French
Arabic
Dataset
News
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