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Machine Translation System Combination using ITG-based Alignments
Damianos Karakos
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Jason Eisner
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Sanjeev Khudanpur
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Markus Dreyer
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Paper Details:
Month: June
Year: 2008
Location: Columbus, Ohio
Venue:
ACL |
Citations
URL
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
Xiaodong He
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Mei Yang
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Jianfeng Gao
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Patrick Nguyen
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Robert Moore
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Joint Optimization for Machine Translation System Combination
Xiaodong He
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Kristina Toutanova
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Jane: Open Source Machine Translation System Combination
Markus Freitag
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Matthias Huck
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Hermann Ney
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HyTER: Meaning-Equivalent Semantics for Translation Evaluation
Markus Dreyer
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Daniel Marcu
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Using a Supertagged Dependency Language Model to Select a Good Translation in System Combination
Wei-Yun Ma
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Kathleen McKeown
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A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
Boxing Chen
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Min Zhang
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Haizhou Li
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Aiti Aw
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Incremental HMM Alignment for MT System Combination
Chi-Ho Li
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Xiaodong He
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Yupeng Liu
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Ning Xi
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Sentence Level Dialect Identification for Machine Translation System Selection
Wael Salloum
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Heba Elfardy
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Linda Alamir-Salloum
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Nizar Habash
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Mona Diab
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CMU System Combination for WMT‘09
Almut Silja Hildebrand
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Stephan Vogel
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Machine Translation System Combination with Flexible Word Ordering
Kenneth Heafield
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Greg Hanneman
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Alon Lavie
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Incremental Hypothesis Alignment with Flexible Matching for Building Confusion Networks: BBN System Description for WMT09 System Combination Task
Antti-Veikko Rosti
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Bing Zhang
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Spyros Matsoukas
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Richard Schwartz
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MANY: Open Source MT System Combination at WMT’10
Loïc Barrault
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CMU Multi-Engine Machine Translation for WMT 2010
Kenneth Heafield
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Alon Lavie
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CMU System Combination via Hypothesis Selection for WMT’10
Almut Silja Hildebrand
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Stephan Vogel
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JHU System Combination Scheme for WMT 2010
Sushant Narsale
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MANY improvements for WMT’11
Loïc Barrault
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Combining Quality Prediction and System Selection for Improved Automatic Translation Output
Radu Soricut
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Sushant Narsale
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Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding
Antti-Veikko Rosti
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Xiaodong He
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Damianos Karakos
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Gregor Leusch
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Yuan Cao
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Markus Freitag
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Spyros Matsoukas
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Hermann Ney
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Jason Smith
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Bing Zhang
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Positive Diversity Tuning for Machine Translation System Combination
Daniel Cer
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Christopher D. Manning
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Dan Jurafsky
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Using Hypothesis Selection Based Features for Confusion Network MT System Combination
Sahar Ghannay
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Loïc Barrault
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Exploring System Combination approaches for Indo-Aryan MT Systems
Karan Singla
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Anupam Singh
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Nishkarsh Shastri
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Megha Jhunjhunwala
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Srinivas Bangalore
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Dipti Misra Sharma
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Local System Voting Feature for Machine Translation System Combination
Markus Freitag
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Jan-Thorsten Peter
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Stephan Peitz
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Minwei Feng
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Hermann Ney
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Well-Formed Dependency to String translation with BTG Grammar
Xiaoqing Li
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Kun Wang
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Dakun Zhang
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Jie Hao
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No URLs Found
Field Of Study
Task
Machine Translation
Language
Chinese
Arabic
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