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Relabeling Syntax Trees to Improve Syntax-Based Machine Translation Quality
Bryant Huang
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Kevin Knight
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Paper Details:
Month: June
Year: 2006
Location: New York City, USA
Venue:
HLT |
NAACL |
Citations
URL
Linguistically Annotated BTG for Statistical Machine Translation
Deyi Xiong
|
Min Zhang
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Aiti Aw
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Haizhou Li
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Syntactic Constraints on Paraphrases Extracted from Parallel Corpora
Chris Callison-Burch
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Re-training Monolingual Parser Bilingually for Syntactic SMT
Shujie Liu
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Chi-Ho Li
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Mu Li
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Ming Zhou
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Syntax-Augmented Machine Translation using Syntax-Label Clustering
Hideya Mino
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Taro Watanabe
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Eiichiro Sumita
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Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation
Wenbin Jiang
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Wen Zhang
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Jinan Xu
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Rangjia Cai
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Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT
Kathryn Baker
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Michael Bloodgood
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Bonnie J. Dorr
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Chris Callison-Burch
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Nathaniel W. Filardo
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Christine Piatko
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Lori Levin
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Scott Miller
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Joint Morphological-Lexical Language Modeling for Machine Translation
Ruhi Sarikaya
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Yonggang Deng
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Improving Syntax-Augmented Machine Translation by Coarsening the Label Set
Greg Hanneman
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Alon Lavie
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Learning to Transform and Select Elementary Trees for Improved Syntax-based Machine Translations
Bing Zhao
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Young-Suk Lee
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Xiaoqiang Luo
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Liu Li
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Using subcategorization knowledge to improve case prediction for translation to German
Marion Weller
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Alexander Fraser
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Sabine Schulte im Walde
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Inductive Detection of Language Features via Clustering Minimal Pairs: Toward Feature-Rich Grammars in Machine Translation
Jonathan H. Clark
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Robert Frederking
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Lori Levin
|
No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Machine Translation
Language
Chinese
English
Dataset
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