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NAACL
2004
15 years 8 months ago
Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functio...
Shankar Kumar, William J. Byrne
STOC
1994
ACM
128views Algorithms» more  STOC 1994»
15 years 10 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
CVPR
2012
IEEE
13 years 9 months ago
Top-down and bottom-up cues for scene text recognition
Scene text recognition has gained significant attention from the computer vision community in recent years. Recognizing such text is a challenging problem, even more so than the ...
Anand Mishra, Karteek Alahari, C. V. Jawahar
DMSN
2009
ACM
16 years 1 months ago
Extracting tennis statistics from wireless sensing environments
Creating statistics from sporting events is now widespread with most efforts to automate this process using various sensor devices. The problem with many of these statistical app...
Adel Shaeib, Kenneth Conroy, Mark Roantree
COLING
2000
15 years 8 months ago
Word Re-ordering and DP-based Search in Statistical Machine Translation
In this paper, we describe a search procedure for statistical machine translation (MT) based on dynmnic programming (DP). Starting from a DP-based solution to the traveling salesm...
Christoph Tillmann, Hermann Ney