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MT
2006
116views more  MT 2006»
14 years 9 months ago
Dependency treelet translation: the convergence of statistical and example-based machine-translation?
We describe a novel approach to machine translation that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed d...
Christopher Quirk, Arul Menezes
ICML
2008
IEEE
15 years 10 months ago
Statistical models for partial membership
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
ACL
2010
14 years 7 months ago
Hindi-to-Urdu Machine Translation through Transliteration
We present a novel approach to integrate transliteration into Hindi-to-Urdu statistical machine translation. We propose two probabilistic models, based on conditional and joint pr...
Nadir Durrani, Hassan Sajjad, Alexander Fraser, He...
NAACL
2007
14 years 11 months ago
Are Very Large N-Best Lists Useful for SMT?
This paper describes an efficient method to extract large n-best lists from a word graph produced by a statistical machine translation system. The extraction is based on the k sh...
Sasa Hasan, Richard Zens, Hermann Ney
LREC
2010
164views Education» more  LREC 2010»
14 years 11 months ago
Evaluating Machine Translation Utility via Semantic Role Labels
We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation...
Chi-kiu Lo, Dekai Wu