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Regularization and Search for Minimum Error Rate Training
Daniel Cer
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Dan Jurafsky
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Christopher D. Manning
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Paper Details:
Month: June
Year: 2008
Location: Columbus, Ohio
Venue:
WMT |
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SIG: SIGMT
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Yearly Citation Distribution
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Citations
URL
Online Large-Margin Training of Syntactic and Structural Translation Features
David Chiang
|
Yuval Marton
|
Philip Resnik
|
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Wolfgang Macherey
|
Franz Och
|
Ignacio Thayer
|
Jakob Uszkoreit
|
Optimal Search for Minimum Error Rate Training
Michel Galley
|
Chris Quirk
|
Regularized Minimum Error Rate Training
Michel Galley
|
Chris Quirk
|
Colin Cherry
|
Kristina Toutanova
|
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
Francisco Guzmán
|
Preslav Nakov
|
Stephan Vogel
|
Structured Ramp Loss Minimization for Machine Translation
Kevin Gimpel
|
Noah A. Smith
|
The Geometry of Statistical Machine Translation
Aurelien Waite
|
Bill Byrne
|
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
Jonathan H. Clark
|
Chris Dyer
|
Alon Lavie
|
Noah A. Smith
|
Fast and Adaptive Online Training of Feature-Rich Translation Models
Spence Green
|
Sida Wang
|
Daniel Cer
|
Christopher D. Manning
|
A Tale about PRO and Monsters
Preslav Nakov
|
Francisco Guzmán
|
Stephan Vogel
|
Stabilizing Minimum Error Rate Training
George Foster
|
Roland Kuhn
|
Lessons from NRC’s Portage System at WMT 2010
Samuel Larkin
|
Boxing Chen
|
George Foster
|
Ulrich Germann
|
Eric Joanis
|
Howard Johnson
|
Roland Kuhn
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Lattice-Based Minimum Error Rate Training Using Weighted Finite-State Transducers with Tropical Polynomial Weights
Aurelien Waite
|
Graeme Blackwood
|
William Byrne
|
Phrasal: A Toolkit for New Directions in Statistical Machine Translation
Spence Green
|
Daniel Cer
|
Christopher Manning
|
No URLs Found
Field Of Study
Task
Machine Translation
Approach
Structured Prediction
Language
Chinese
English
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