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» Learning Rules to Improve a Machine Translation System
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ACL
2001
15 years 1 months ago
Fast Decoding and Optimal Decoding for Machine Translation
A good decoding algorithm is critical to the success of any statistical machine translation system. The decoder's job is to find the translation that is most likely according...
Ulrich Germann, Michael Jahr, Kevin Knight, Daniel...
DATAMINE
2008
112views more  DATAMINE 2008»
14 years 12 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
ACL
2006
15 years 1 months ago
The Effect of Translation Quality in MT-Based Cross-Language Information Retrieval
This paper explores the relationship between the translation quality and the retrieval effectiveness in Machine Translation (MT) based Cross-Language Information Retrieval (CLIR)....
Jiang Zhu, Haifeng Wang
ACL
1997
15 years 1 months ago
Decoding Algorithm in Statistical Machine Translation
Decoding algorithm is a crucial part in statistical machine translation. We describe a stack decoding algorithm in this paper. We present the hypothesis scoring method and the heu...
Ye-Yi Wang, Alex Waibel
NLE
2007
180views more  NLE 2007»
14 years 11 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne