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Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
Tobias Domhan
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Felix Hieber
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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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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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Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?
Eylon Shoshan
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Kira Radinsky
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Learning to Actively Learn Neural Machine Translation
Ming Liu
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Wray Buntine
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Gholamreza Haffari
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Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
Poorya Zaremoodi
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Gholamreza Haffari
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A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Ying Lin
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Shengqi Yang
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Veselin Stoyanov
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Heng Ji
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Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation
Poorya Zaremoodi
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Wray Buntine
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Gholamreza Haffari
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Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation
Kenji Imamura
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Atsushi Fujita
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Eiichiro Sumita
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Using Monolingual Data in Neural Machine Translation: a Systematic Study
Franck Burlot
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François Yvon
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Simple Fusion: Return of the Language Model
Felix Stahlberg
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James Cross
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Veselin Stoyanov
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https://github.com/awslabs/sockeye
Field Of Study
Linguistic Trends
Embeddings
Language
English
Dataset
News
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