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A Discriminative Latent Variable Model for Statistical Machine Translation
Phil Blunsom
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Trevor Cohn
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Miles Osborne
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Paper Details:
Month: June
Year: 2008
Location: Columbus, Ohio
Venue:
ACL |
Citations
URL
Semantic Role Features for Machine Translation
Ding Liu
|
Daniel Gildea
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Latent Mixture of Discriminative Experts for Multimodal Prediction Modeling
Derya Ozkan
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Kenji Sagae
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Louis-Philippe Morency
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Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering
Mengqiu Wang
|
Christopher Manning
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Probabilistic Inference for Machine Translation
Phil Blunsom
|
Miles Osborne
|
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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Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
Markos Mylonakis
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Khalil Sima’an
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Feature-Rich Translation by Quasi-Synchronous Lattice Parsing
Kevin Gimpel
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Noah A. Smith
|
Perceptron Reranking for CCG Realization
Michael White
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Rajakrishnan Rajkumar
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Sinuhe – Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
Matti Kääriäinen
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Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training
Xinyan Xiao
|
Yang Liu
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Qun Liu
|
Shouxun Lin
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Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation
Zhifei Li
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Ziyuan Wang
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Jason Eisner
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Sanjeev Khudanpur
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Brian Roark
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Locally Training the Log-Linear Model for SMT
Lemao Liu
|
Hailong Cao
|
Taro Watanabe
|
Tiejun Zhao
|
Mo Yu
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Conghui Zhu
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Max-Margin Synchronous Grammar Induction for Machine Translation
Xinyan Xiao
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Deyi Xiong
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Translating into Morphologically Rich Languages with Synthetic Phrases
Victor Chahuneau
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Eva Schlinger
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Noah A. Smith
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Chris Dyer
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Syntactic SMT Using a Discriminative Text Generation Model
Yue Zhang
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Kai Song
|
Linfeng Song
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Jingbo Zhu
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Qun Liu
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Joint Mention Extraction and Classification with Mention Hypergraphs
Wei Lu
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Dan Roth
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Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings
Kevin Gimpel
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Noah A. Smith
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Rule Filtering by Pattern for Efficient Hierarchical Translation
Gonzalo Iglesias
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Adrià de Gispert
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Eduardo R. Banga
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William Byrne
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evision PDF of 'Translation as Weighted Deduction
Adam Lopez
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Sequential Labeling with Latent Variables: An Exact Inference Algorithm and its Efficient Approximation
Xu Sun
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Jun’ichi Tsujii
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A Latent Variable Model for Discourse-aware Concept and Entity Disambiguation
Angela Fahrni
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Michael Strube
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Hierarchical Phrase-Based Translation with Weighted Finite-State Transducers and Shallow-n Grammars
Adrià de Gispert
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Gonzalo Iglesias
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Graeme Blackwood
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Eduardo R. Banga
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William Byrne
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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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Hierarchical Phrase-Based Translation with Weighted Finite State Transducers
Gonzalo Iglesias
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Adrià de Gispert
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Eduardo R. Banga
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William Byrne
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Context-free reordering, finite-state translation
Chris Dyer
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Philip Resnik
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Structured Ramp Loss Minimization for Machine Translation
Kevin Gimpel
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Noah A. Smith
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Optimized Online Rank Learning for Machine Translation
Taro Watanabe
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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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A Comparison of Update Strategies for Large-Scale Maximum Expected BLEU Training
Joern Wuebker
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Sebastian Muehr
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Patrick Lehnen
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Stephan Peitz
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Hermann Ney
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Joint Decoding with Multiple Translation Models
Yang Liu
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Haitao Mi
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Yang Feng
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Qun Liu
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Variational Decoding for Statistical Machine Translation
Zhifei Li
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Jason Eisner
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Sanjeev Khudanpur
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Training Phrase Translation Models with Leaving-One-Out
Joern Wuebker
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Arne Mauser
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Hermann Ney
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cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models
Chris Dyer
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Adam Lopez
|
Juri Ganitkevitch
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Jonathan Weese
|
Ferhan Ture
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Phil Blunsom
|
Hendra Setiawan
|
Vladimir Eidelman
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Philip Resnik
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Unsupervised Word Alignment with Arbitrary Features
Chris Dyer
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Jonathan H. Clark
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Alon Lavie
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Noah A. Smith
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Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation
Bing Xiang
|
Abraham Ittycheriah
|
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
Patrick Simianer
|
Stefan Riezler
|
Chris Dyer
|
evision PDF of 'Maximum Expected BLEU Training of Phrase and Lexicon Translation Models
Xiaodong He
|
Li Deng
|
Hierarchical Phrase Table Combination for Machine Translation
Conghui Zhu
|
Taro Watanabe
|
Eiichiro Sumita
|
Tiejun Zhao
|
Online Relative Margin Maximization for Statistical Machine Translation
Vladimir Eidelman
|
Yuval Marton
|
Philip Resnik
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Hierarchical MT Training using Max-Violation Perceptron
Kai Zhao
|
Liang Huang
|
Haitao Mi
|
Abe Ittycheriah
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Monte Carlo inference and maximization for phrase-based translation
Abhishek Arun
|
Chris Dyer
|
Barry Haddow
|
Phil Blunsom
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Adam Lopez
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Philipp Koehn
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Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models
David Vilar
|
Daniel Stein
|
Matthias Huck
|
Hermann Ney
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A Unified Approach to Minimum Risk Training and Decoding
Abhishek Arun
|
Barry Haddow
|
Philipp Koehn
|
Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
Markos Mylonakis
|
Khalil Sima’an
|
SampleRank Training for Phrase-Based Machine Translation
Barry Haddow
|
Abhishek Arun
|
Philipp Koehn
|
The CMU-ARK German-English Translation System
Chris Dyer
|
Kevin Gimpel
|
Jonathan H. Clark
|
Noah A. Smith
|
Leave-One-Out Phrase Model Training for Large-Scale Deployment
Joern Wuebker
|
Mei-Yuh Hwang
|
Chris Quirk
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http://www.statmt.org/europarl/
http://www.statmt.org/wmt0{6,7}
Field Of Study
Linguistic Trends
Syntax
Task
Machine Translation
Approach
Discriminative Model
Language
Chinese
English
French
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