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First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Zhifei Li
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Jason Eisner
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Paper Details:
Month: August
Year: 2009
Location: Singapore
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
Zhifei Li
|
Ziyuan Wang
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Sanjeev Khudanpur
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Jason Eisner
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Machine Translation with Lattices and Forests
Haitao Mi
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Liang Huang
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Qun Liu
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Multilayer Sequence Labeling
Ai Azuma
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Yuji Matsumoto
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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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Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation
Zhifei Li
|
Ziyuan Wang
|
Jason Eisner
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Sanjeev Khudanpur
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Brian Roark
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Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing
Shay B. Cohen
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Carlos Gómez-Rodríguez
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Giorgio Satta
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Structured Alignment Networks for Matching Sentences
Yang Liu
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Matt Gardner
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Mirella Lapata
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Mildly Non-Projective Dependency Grammar
Marco Kuhlmann
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Unsupervised Model Adaptation using Information-Theoretic Criterion
Ariya Rastrow
|
Frederick Jelinek
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Abhinav Sethy
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Bhuvana Ramabhadran
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Context-free reordering, finite-state translation
Chris Dyer
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Philip Resnik
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Model Combination for Machine Translation
John DeNero
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Shankar Kumar
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Ciprian Chelba
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Franz Och
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Minimum-Risk Training of Approximate CRF-Based NLP Systems
Veselin Stoyanov
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Jason Eisner
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Unsupervised Learning on an Approximate Corpus
Jason Smith
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Jason Eisner
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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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evision PDF of 'Batch Tuning Strategies for Statistical Machine Translation
Colin Cherry
|
George Foster
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Unsupervised Concept-to-text Generation with Hypergraphs
Ioannis Konstas
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Mirella Lapata
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Penalized Expectation Propagation for Graphical Models over Strings
Ryan Cotterell
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Jason Eisner
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Weighting Finite-State Transductions With Neural Context
Pushpendre Rastogi
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Ryan Cotterell
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Jason Eisner
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Finding Cognate Groups Using Phylogenies
David Hall
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Dan Klein
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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
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Juri Ganitkevitch
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Jonathan Weese
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Ferhan Ture
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Phil Blunsom
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Hendra Setiawan
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Vladimir Eidelman
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Philip Resnik
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Dynamic Programming Algorithms for Transition-Based Dependency Parsers
Marco Kuhlmann
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Carlos Gómez-Rodríguez
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Giorgio Satta
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Concept-to-text Generation via Discriminative Reranking
Ioannis Konstas
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Mirella Lapata
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An Algebra for Feature Extraction
Vivek Srikumar
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Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Daniel Fried
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Dan Klein
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Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang
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Christopher D. Manning
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Modeling Word Forms Using Latent Underlying Morphs and Phonology
Ryan Cotterell
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Nanyun Peng
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Jason Eisner
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Approximation-Aware Dependency Parsing by Belief Propagation
Matthew R. Gormley
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Mark Dredze
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Jason Eisner
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Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira
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Jason Eisner
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Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies
Zhifei Li
|
Chris Callison-Burch
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Chris Dyer
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Juri Ganitkevitch
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Ann Irvine
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Sanjeev Khudanpur
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Lane Schwartz
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Wren Thornton
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Ziyuan Wang
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Jonathan Weese
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Omar Zaidan
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A Unified Approach to Minimum Risk Training and Decoding
Abhishek Arun
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Barry Haddow
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Philipp Koehn
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Parsing and Translation Algorithms Based on Weighted Extended Tree Transducers
Andreas Maletti
|
Giorgio Satta
|
Reestimation of Reified Rules in Semiring Parsing and Biparsing
Markus Saers
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Dekai Wu
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Expected BLEU Training for Graphs: BBN System Description for WMT11 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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SampleRank Training for Phrase-Based Machine Translation
Barry Haddow
|
Abhishek Arun
|
Philipp Koehn
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The CMU-ARK German-English Translation System
Chris Dyer
|
Kevin Gimpel
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Jonathan H. Clark
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Noah A. Smith
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Adaptive Importance Sampling from Finite State Automata
Christoph Teichmann
|
Kasimir Wansing
|
Alexander Koller
|
No URLs Found
Field Of Study
Task
Machine Translation
Approach
Semi-supervised Learning
Language
Chinese
English
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