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Coarse-to-Fine Syntactic Machine Translation using Language Projections
Slav Petrov
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Aria Haghighi
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Dan Klein
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Paper Details:
Month: October
Year: 2008
Location: Honolulu, Hawaii
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Cube Pruning as Heuristic Search
Mark Hopkins
|
Greg Langmead
|
Exact Decoding for Phrase-Based Statistical Machine Translation
Wilker Aziz
|
Marc Dymetman
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Lucia Specia
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Efficient Parsing for Transducer Grammars
John DeNero
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Mohit Bansal
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Adam Pauls
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Dan Klein
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From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Grouping Language Model Boundary Words to Speed K–Best Extraction from Hypergraphs
Kenneth Heafield
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Philipp Koehn
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Alon Lavie
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Quadratic-Time Dependency Parsing for Machine Translation
Michel Galley
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Christopher D. Manning
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Better Word Alignments with Supervised ITG Models
Aria Haghighi
|
John Blitzer
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John DeNero
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Dan Klein
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Improved Smoothing for N-gram Language Models Based on Ordinary Counts
Robert C. Moore
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Chris Quirk
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Simple, Accurate Parsing with an All-Fragments Grammar
Mohit Bansal
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Dan Klein
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Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation
Alexander M. Rush
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Michael Collins
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Unsupervised Transcription of Historical Documents
Taylor Berg-Kirkpatrick
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Greg Durrett
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Dan Klein
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An Infinite Hierarchical Bayesian Model of Phrasal Translation
Trevor Cohn
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Gholamreza Haffari
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Learning to Prune: Context-Sensitive Pruning for Syntactic MT
Wenduan Xu
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Yue Zhang
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Philip Williams
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Philipp Koehn
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Improved Typesetting Models for Historical OCR
Taylor Berg-Kirkpatrick
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Dan Klein
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Faster Phrase-Based Decoding by Refining Feature State
Kenneth Heafield
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Michael Kayser
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Christopher D. Manning
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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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http://research.microsoft.com/joshuago/
http://www.statmt.org/wmt08
Field Of Study
Task
Syntactic Parsing
Machine Translation
Language
English
Spanish
French
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