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» Learning Rules to Improve a Machine Translation System
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COLING
2008
15 years 1 months ago
Regenerating Hypotheses for Statistical Machine Translation
This paper studies three techniques that improve the quality of N-best hypotheses through additional regeneration process. Unlike the multi-system consensus approach where multipl...
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li
IMCSIT
2010
14 years 9 months ago
TREF - TRanslation Enhancement Framework for Japanese-English
Abstract--We present a method for improving existing statistical machine translation methods using an knowledge-base compiled from a bilingual corpus as well as sequence alignment ...
Bartholomäus Wloka, Werner Winiwarter
NAACL
2003
15 years 1 months ago
TIPS: A Translingual Information Processing System
Searching online information is increasingly a daily activity for many people. The multilinguality of online content is also increasing (e.g. the proportion of English web users, ...
Yaser Al-Onaizan, Radu Florian, Martin Franz, Hany...
ACL
2008
15 years 1 months ago
Applying Morphology Generation Models to Machine Translation
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
Kristina Toutanova, Hisami Suzuki, Achim Ruopp
ECML
2007
Springer
15 years 6 months ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný