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» Semi-Supervised Training for Statistical Word Alignment
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FINTAL
2006
15 years 1 months ago
Improving Phrase-Based Statistical Translation Through Combination of Word Alignments
This paper investigates the combination of word-alignments computed with the competitive linking algorithm and well-established IBM models. New training methods for phrase-based st...
Boxing Chen, Marcello Federico
NLE
2007
180views more  NLE 2007»
14 years 9 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
ACL
2008
14 years 11 months ago
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
Kuzman Ganchev, João Graça, Ben Task...
CVPR
2006
IEEE
15 years 11 months ago
Aligning ASL for Statistical Translation Using a Discriminative Word Model
We describe a method to align ASL video subtitles with a closed-caption transcript. Our alignments are partial, based on spotting words within the video sequence, which consists o...
Ali Farhadi, David A. Forsyth
ACL
2006
14 years 11 months ago
Improved Discriminative Bilingual Word Alignment
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...
Robert C. Moore, Wen-tau Yih, Andreas Bode