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» Learning Rules to Improve a Machine Translation System
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ACL
2008
15 years 1 months ago
Exploiting N-best Hypotheses for SMT Self-Enhancement
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li
ICALT
2008
IEEE
15 years 6 months ago
Dictionary-Based Translation Feature in Open Source LMS A Case Study of Thai LMS: LearnSquare
One of the problems on using English in Thai students is vocabulary limitation. This paper proposes a methodology to ease learning curve for English content by adding an English-T...
Orrawin Mekpiroon, Pornchai Tammarattananont, Nara...
COLING
2008
15 years 1 months ago
Translating Queries into Snippets for Improved Query Expansion
User logs of search engines have recently been applied successfully to improve various aspects of web search quality. In this paper, we will apply pairs of user queries and snippe...
Stefan Riezler, Yi Liu, Alexander Vasserman
JUCS
2008
160views more  JUCS 2008»
14 years 11 months ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
ACL
2009
14 years 9 months ago
Forest-based Tree Sequence to String Translation Model
This paper proposes a forest-based tree sequence to string translation model for syntaxbased statistical machine translation, which automatically learns tree sequence to string tr...
Hui Zhang, Min Zhang, Haizhou Li, AiTi Aw, Chew Li...