Sciweavers

59 search results - page 6 / 12
» Diversify and Combine: Improving Word Alignment for Machine ...
Sort
View
IALP
2010
13 years 2 months ago
Hierarchical Pitman-Yor Language Model for Machine Translation
The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the performance of this smoothing method is shown compara...
Tsuyoshi Okita, Andy Way
EMNLP
2006
13 years 9 months ago
Statistical Machine Reordering
Reordering is currently one of the most important problems in statistical machine translation systems. This paper presents a novel strategy for dealing with it: statistical machin...
Marta R. Costa-Jussà, José A. R. Fon...
EMNLP
2007
13 years 9 months ago
Hierarchical System Combination for Machine Translation
Given multiple translations of the same source sentence, how to combine them to produce a translation that is better than any single system output? We propose a hierarchical syste...
Fei Huang, Kishore Papineni
COLING
1996
13 years 9 months ago
Example-Based Machine Translation in the Pangloss System
The Pangloss Example-Based Machine Translation engine (I'anEI3MT) l is a translation system reql,iring essentially no knowledge of the structure of a language, merely a large...
Ralf D. Brown
LREC
2008
155views Education» more  LREC 2008»
13 years 9 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...