NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Minimum Risk Annealing for Training Log-Linear Models
David A. Smith
|
Jason Eisner
|
Paper Details:
Month: July
Year: 2006
Location: Sydney, Australia
Venue:
ACL |
COLING |
Citations
URL
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov
|
Simon Clematide
|
A Systematic Comparison of Training Criteria for Statistical Machine Translation
Richard Zens
|
Saša Hasan
|
Hermann Ney
|
Online Large-Margin Training of Syntactic and Structural Translation Features
David Chiang
|
Yuval Marton
|
Philip Resnik
|
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation
Roy Tromble
|
Shankar Kumar
|
Franz Och
|
Wolfgang Macherey
|
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Wolfgang Macherey
|
Franz Och
|
Ignacio Thayer
|
Jakob Uszkoreit
|
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Zhifei Li
|
Jason Eisner
|
Minimum Error Rate Training by Sampling the Translation Lattice
Samidh Chatterjee
|
Nicola Cancedda
|
Optimal Search for Minimum Error Rate Training
Michel Galley
|
Chris Quirk
|
Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training
Xinyan Xiao
|
Yang Liu
|
Qun Liu
|
Shouxun Lin
|
Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation
Zhifei Li
|
Ziyuan Wang
|
Jason Eisner
|
Sanjeev Khudanpur
|
Brian Roark
|
Regularized Minimum Error Rate Training
Michel Galley
|
Chris Quirk
|
Colin Cherry
|
Kristina Toutanova
|
Extracting Entities and Relations with Joint Minimum Risk Training
Changzhi Sun
|
Yuanbin Wu
|
Man Lan
|
Shiliang Sun
|
Wenting Wang
|
Kuang-Chih Lee
|
Kewen Wu
|
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
Kevin Gimpel
|
Noah A. Smith
|
Minimum-Risk Training of Approximate CRF-Based NLP Systems
Veselin Stoyanov
|
Jason Eisner
|
Structured Ramp Loss Minimization for Machine Translation
Kevin Gimpel
|
Noah A. Smith
|
Optimized Online Rank Learning for Machine Translation
Taro Watanabe
|
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search
Jeffrey Flanigan
|
Chris Dyer
|
Jaime Carbonell
|
Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking
Kevin Duh
|
Katrin Kirchhoff
|
Variational Decoding for Statistical Machine Translation
Zhifei Li
|
Jason Eisner
|
Sanjeev Khudanpur
|
The impact of language models and loss functions on repair disfluency detection
Simon Zwarts
|
Mark Johnson
|
evision PDF of 'Maximum Expected BLEU Training of Phrase and Lexicon Translation Models
Xiaodong He
|
Li Deng
|
Online Relative Margin Maximization for Statistical Machine Translation
Vladimir Eidelman
|
Yuval Marton
|
Philip Resnik
|
Learning Structured Predictors from Bandit Feedback for Interactive NLP
Artem Sokolov
|
Julia Kreutzer
|
Christopher Lo
|
Stefan Riezler
|
Minimum Risk Training for Neural Machine Translation
Shiqi Shen
|
Yong Cheng
|
Zhongjun He
|
Wei He
|
Hua Wu
|
Maosong Sun
|
Yang Liu
|
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu
|
Panupong Pasupat
|
Evan Liu
|
Percy Liang
|
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Julia Kreutzer
|
Artem Sokolov
|
Stefan Riezler
|
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Daniel Fried
|
Dan Klein
|
Adapting to All Domains at Once: Rewarding Domain Invariance in SMT
Hoang Cuong
|
Khalil Sima’an
|
Ivan Titov
|
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira
|
Jason Eisner
|
Vine Parsing and Minimum Risk Reranking for Speed and Precision
Markus Dreyer
|
David A. Smith
|
Noah A. Smith
|
Training Non-Parametric Features for Statistical Machine Translation
Patrick Nguyen
|
Milind Mahajan
|
Xiaodong He
|
Regularization and Search for Minimum Error Rate Training
Daniel Cer
|
Dan Jurafsky
|
Christopher D. Manning
|
Joshua: An Open Source Toolkit for Parsing-Based Machine Translation
Zhifei Li
|
Chris Callison-Burch
|
Chris Dyer
|
Sanjeev Khudanpur
|
Lane Schwartz
|
Wren Thornton
|
Jonathan Weese
|
Omar Zaidan
|
Monte Carlo inference and maximization for phrase-based translation
Abhishek Arun
|
Chris Dyer
|
Barry Haddow
|
Phil Blunsom
|
Adam Lopez
|
Philipp Koehn
|
The Cunei Machine Translation Platform for WMT ’10
Aaron Phillips
|
A Unified Approach to Minimum Risk Training and Decoding
Abhishek Arun
|
Barry Haddow
|
Philipp Koehn
|
Expected BLEU Training for Graphs: BBN System Description for WMT11 System Combination Task
Antti-Veikko Rosti
|
Bing Zhang
|
Spyros Matsoukas
|
Richard Schwartz
|
SampleRank Training for Phrase-Based Machine Translation
Barry Haddow
|
Abhishek Arun
|
Philipp Koehn
|
Optimization Strategies for Online Large-Margin Learning in Machine Translation
Vladimir Eidelman
|
Investigations in Exact Inference for Hierarchical Translation
Wilker Aziz
|
Marc Dymetman
|
Sriram Venkatapathy
|
The AFRL-MITLL WMT15 System: There’s More than One Way to Decode It!
Jeremy Gwinnup
|
Tim Anderson
|
Grant Erdmann
|
Katherine Young
|
Christina May
|
Michaeel Kazi
|
Elizabeth Salesky
|
Brian Thompson
|
Drem: The AFRL Submission to the WMT15 Tuning Task
Grant Erdmann
|
Jeremy Gwinnup
|
No URLs Found
Field Of Study
Task
Machine Translation
Approach
Structured Prediction
Unsupervised Learning
Language
Multilingual
English
Similar Papers
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
Katharina Kann
|
Ryan Cotterell
|
Hinrich Schütze
|
A treebank-based study on the influence of Italian word order on parsing performance
Anita Alicante
|
Cristina Bosco
|
Anna Corazza
|
Alberto Lavelli
|
Integrating Graph-Based and Transition-Based Dependency Parsers
Joakim Nivre
|
Ryan McDonald
|
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
Arne Mauser
|
Saša Hasan
|
Hermann Ney
|
Improving Arabic-Chinese Statistical Machine Translation using English as Pivot Language
Nizar Habash
|
Jun Hu
|