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» Improving Statistical Word Alignment with Ensemble Methods
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CVIU
2010
198views more  CVIU 2010»
13 years 7 months ago
Non-Gaussian model-based fusion of noisy images in the wavelet domain
This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients. Special emphasis is placed on the fusion of...
Artur Loza, David R. Bull, Nishan Canagarajah, Ali...
ACL
2010
13 years 5 months ago
Boosting-Based System Combination for Machine Translation
In this paper, we present a simple and effective method to address the issue of how to generate diversified translation systems from a single Statistical Machine Translation (SMT)...
Tong Xiao, Jingbo Zhu, Muhua Zhu, Huizhen Wang
EPEW
2006
Springer
13 years 11 months ago
Precise Regression Benchmarking with Random Effects: Improving Mono Benchmark Results
Benchmarking as a method of assessing software performance is known to suffer from random fluctuations that distort the observed performance. In this paper, we focus on the fluctua...
Tomás Kalibera, Petr Tuma
INTERSPEECH
2010
13 years 2 months ago
VAD-measure-embedded decoder with online model adaptation
We previously proposed a decoding method for automatic speech recognition utilizing hypothesis scores weighted by voice activity detection (VAD)-measures. This method uses two Gau...
Tasuku Oonishi, Koji Iwano, Sadaoki Furui
NAACL
2007
13 years 9 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