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» Model Combination for Machine Translation
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ACL
2010
13 years 8 months ago
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonatha...
EMNLP
2010
13 years 8 months ago
Improving Translation via Targeted Paraphrasing
Targeted paraphrasing is a new approach to the problem of obtaining cost-effective, reasonable quality translation that makes use of simple and inexpensive human computations by m...
Philip Resnik, Olivia Buzek, Chang Hu, Yakov Kronr...
ICML
2002
IEEE
14 years 10 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty
ICML
2005
IEEE
14 years 10 months ago
Closed-form dual perturb and combine for tree-based models
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Pierre Geurts, Louis Wehenkel
COLING
2002
13 years 9 months ago
Determining Recurrent Sound Correspondences by Inducing Translation Models
I present a novel approach to the determination of recurrent sound correspondences in bilingual wordlists. The idea is to relate correspondences between sounds in wordlists to tra...
Grzegorz Kondrak