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Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation
Michael Denkowski
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Chris Dyer
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Alon Lavie
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Paper Details:
Month: April
Year: 2014
Location: Gothenburg, Sweden
Venue:
EACL |
Citations
URL
Human Effort and Machine Learnability in Computer Aided Translation
Spence Green
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Sida I. Wang
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Jason Chuang
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Jeffrey Heer
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Sebastian Schuster
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Christopher D. Manning
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Hierarchical Incremental Adaptation for Statistical Machine Translation
Joern Wuebker
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Spence Green
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John DeNero
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Compact Personalized Models for Neural Machine Translation
Joern Wuebker
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Patrick Simianer
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John DeNero
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Online Automatic Post-editing for MT in a Multi-Domain Translation Environment
Rajen Chatterjee
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Gebremedhen Gebremelak
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Matteo Negri
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Marco Turchi
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A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
Artem Sokolov
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Stefan Riezler
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Shay B. Cohen
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Active Learning for Interactive Neural Machine Translation of Data Streams
Álvaro Peris
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Francisco Casacuberta
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Response-based Learning for Grounded Machine Translation
Stefan Riezler
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Patrick Simianer
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Carolin Haas
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Learning Structured Predictors from Bandit Feedback for Interactive NLP
Artem Sokolov
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Julia Kreutzer
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Christopher Lo
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Stefan Riezler
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Real Time Adaptive Machine Translation for Post-Editing with cdec and TransCenter
Michael Denkowski
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Alon Lavie
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Isabel Lacruz
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Chris Dyer
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Potential and Limits of Using Post-edits as Reference Translations for MT Evaluation
Maja Popovic
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Mihael Arčan
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Arle Lommel
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http://www.ted.com/talks
http://www.cs.cmu.edu/
http://www.nist.gov/itl/iad/mig/openmt12.cfm
Field Of Study
Task
Machine Translation
Approach
Bayesian Model
Language
Chinese
English
Spanish
Dataset
News
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