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Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone
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Barry Haddow
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Ulrich Germann
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Rico Sennrich
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu
|
Rui Wang
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Improving Machine Translation of Educational Content via Crowdsourcing
Maximiliana Behnke
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Antonio Valerio Miceli Barone
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Rico Sennrich
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Vilelmini Sosoni
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Thanasis Naskos
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Eirini Takoulidou
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Maria Stasimioti
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Menno van Zaanen
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Sheila Castilho
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Federico Gaspari
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Panayota Georgakopoulou
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Valia Kordoni
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Markus Egg
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Katia Lida Kermanidis
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Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation
Huda Khayrallah
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Brian Thompson
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Kevin Duh
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Philipp Koehn
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Orthogonal Matching Pursuit for Text Classification
Konstantinos Skianis
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Nikolaos Tziortziotis
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Michalis Vazirgiannis
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Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation
Brian Thompson
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Huda Khayrallah
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Antonios Anastasopoulos
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Arya D. McCarthy
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Kevin Duh
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Rebecca Marvin
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Paul McNamee
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Jeremy Gwinnup
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Tim Anderson
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Philipp Koehn
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http://www.statmt.org/wmt16/
http://data.statmt.org/rsennrich/wmt16_backtranslations/
https://github.com/EdinburghNLP/nematus/tree/
Field Of Study
Task
Machine Translation
Approach
Deep Learning
Language
English
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