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Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
Michael Bloodgood
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Chris Callison-Burch
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
ACL |
Citations
URL
Submodularity for Data Selection in Machine Translation
Katrin Kirchhoff
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Jeff Bilmes
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Active learning for interactive machine translation
Jesús González-Rubio
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Daniel Ortiz-Martínez
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Francisco Casacuberta
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Translation memory retrieval methods
Michael Bloodgood
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Benjamin Strauss
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Active Learning for Post-Editing Based Incrementally Retrained MT
Aswarth Abhilash Dara
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Josef van Genabith
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Qun Liu
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John Judge
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Antonio Toral
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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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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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A Quality-based Active Sample Selection Strategy for Statistical Machine Translation
Varvara Logacheva
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Lucia Specia
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Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation
Akiva Miura
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Graham Neubig
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Michael Paul
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Satoshi Nakamura
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Collecting Highly Parallel Data for Paraphrase Evaluation
David Chen
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William Dolan
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Translation Model Size Reduction for Hierarchical Phrase-based Statistical Machine Translation
Seung-Wook Lee
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Dongdong Zhang
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Mu Li
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Ming Zhou
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Hae-Chang Rim
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SenseSpotting: Never let your parallel data tie you to an old domain
Marine Carpuat
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Hal Daumé III
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Katharine Henry
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Ann Irvine
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Jagadeesh Jagarlamudi
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Rachel Rudinger
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Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors
Rui Yan
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Mingkun Gao
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Ellie Pavlick
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Chris Callison-Burch
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Analysis of Stopping Active Learning based on Stabilizing Predictions
Michael Bloodgood
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John Grothendieck
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Confidence-based Active Learning Methods for Machine Translation
Varvara Logacheva
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Lucia Specia
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Language Generation
Machine Translation
Biomedical
Language
Multilingual
Urdu
Japanese
Dataset
Web Crawl
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