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A Discriminative Global Training Algorithm for Statistical MT
Christoph Tillmann
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Tong Zhang
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Paper Details:
Month: July
Year: 2006
Location: Sydney, Australia
Venue:
ACL |
COLING |
Citations
URL
A Sequence Alignment Model Based on the Averaged Perceptron
Dayne Freitag
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Shahram Khadivi
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A Systematic Comparison of Training Criteria for Statistical Machine Translation
Richard Zens
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Saša Hasan
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Hermann Ney
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Online Large-Margin Training for Statistical Machine Translation
Taro Watanabe
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Jun Suzuki
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Hajime Tsukada
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Hideki Isozaki
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Online Large-Margin Training of Syntactic and Structural Translation Features
David Chiang
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Yuval Marton
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Philip Resnik
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Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
Libin Shen
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Jinxi Xu
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Bing Zhang
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Spyros Matsoukas
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Ralph Weischedel
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Accuracy-Based Scoring for DOT: Towards Direct Error Minimization for Data-Oriented Translation
Daniel Galron
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Sergio Penkale
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Andy Way
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I. Dan Melamed
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Assessing Phrase-Based Translation Models with Oracle Decoding
Guillaume Wisniewski
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Alexandre Allauzen
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François Yvon
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Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training
Xinyan Xiao
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Yang Liu
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Qun Liu
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Shouxun Lin
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A Structured Prediction Approach for Statistical Machine Translation
Dakun Zhang
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Le Sun
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Wenbo Li
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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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Direct Translation Model 2
Abraham Ittycheriah
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Salim Roukos
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11,001 New Features for Statistical Machine Translation
David Chiang
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Kevin Knight
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Wei Wang
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Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search
Jeffrey Flanigan
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Chris Dyer
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Jaime Carbonell
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Training MRF-Based Phrase Translation Models using Gradient Ascent
Jianfeng Gao
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Xiaodong He
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Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction
Srinivas Bangalore
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Patrick Haffner
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Stephan Kanthak
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Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair?
Yonggang Deng
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Jia Xu
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Yuqing Gao
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Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Sophia Ananiadou
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Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
Patrick Simianer
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Stefan Riezler
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Chris Dyer
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Fast and Adaptive Online Training of Feature-Rich Translation Models
Spence Green
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Sida Wang
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Daniel Cer
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Christopher D. Manning
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Online Relative Margin Maximization for Statistical Machine Translation
Vladimir Eidelman
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Yuval Marton
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Philip Resnik
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Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation
Markus Dreyer
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Keith Hall
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Sanjeev Khudanpur
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Using Paraphrases for Parameter Tuning in Statistical Machine Translation
Nitin Madnani
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Necip Fazil Ayan
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Philip Resnik
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Bonnie Dorr
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Mixture-Model Adaptation for SMT
George Foster
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Roland Kuhn
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Context-aware Discriminative Phrase Selection for Statistical Machine Translation
Jesús Giménez
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Lluís Màrquez
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Generalizing Local Translation Models
Michael Subotin
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Optimization Strategies for Online Large-Margin Learning in Machine Translation
Vladimir Eidelman
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Joshua 5.0: Sparser, Better, Faster, Server
Matt Post
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Juri Ganitkevitch
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Luke Orland
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Jonathan Weese
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Yuan Cao
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Chris Callison-Burch
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No URLs Found
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