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ACL
2001
13 years 11 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...
EMNLP
2008
13 years 11 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
ACL
2009
13 years 7 months ago
Revisiting Pivot Language Approach for Machine Translation
This paper revisits the pivot language approach for machine translation. First, we investigate three different methods for pivot translation. Then we employ a hybrid method combin...
Hua Wu, Haifeng Wang
ICML
2003
IEEE
14 years 10 months ago
Online Feature Selection using Grafting
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
Simon Perkins, James Theiler
IRAL
2003
ACM
14 years 2 months ago
Learning bilingual translations from comparable corpora to cross-language information retrieval: hybrid statistics-based and lin
Recent years saw an increased interest in the use and the construction of large corpora. With this increased interest and awareness has come an expansion in the application to kno...
Fatiha Sadat, Masatoshi Yoshikawa, Shunsuke Uemura