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EMNLP
2011
12 years 7 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
ACL
2012
11 years 9 months ago
Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation
We describe Akamon, an open source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008). Akamon implements all...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
ACL
2011
12 years 11 months ago
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....
LREC
2008
138views Education» more  LREC 2008»
13 years 8 months ago
MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices
This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a writ...
Alexandre Patry, Philippe Langlais
ACL
2003
13 years 8 months ago
Feature-Rich Statistical Translation of Noun Phrases
We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently bes...
Philipp Koehn, Kevin Knight