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» N-gram-based Machine Translation
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117
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ACL
2001
15 years 4 months ago
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
140
Voted
LREC
2008
138views Education» more  LREC 2008»
15 years 4 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
109
Voted
ACL
2003
15 years 4 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
134
Voted
COLING
2002
15 years 2 months ago
Study of Practical Effectiveness for Machine Translation Using Recursive Chain-link-type Learning
A number of machine translation systems based on the learning algorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...
97
Voted
LREC
2008
135views Education» more  LREC 2008»
15 years 4 months ago
Communicating Unknown Words in Machine Translation
A new approach to handle unknown words in machine translation is presented. The basic idea is to find definitions for the unknown words on the source language side and translate t...
Matthias Eck, Stephan Vogel, Alex Waibel