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» Learning to Align: A Statistical Approach
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130
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ACL
2010
15 years 1 months ago
Fine-Grained Tree-to-String Translation Rule Extraction
Tree-to-string translation rules are widely used in linguistically syntax-based statistical machine translation systems. In this paper, we propose to use deep syntactic informatio...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
112
Voted
FLAIRS
2003
15 years 5 months ago
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation
One challenge in text processing is the treatment of case insensitive documents such as speech recognition results. The traditional approach is to re-train a language model exclud...
Cheng Niu, Wei Li 0003, Jihong Ding, Rohini K. Sri...
138
Voted
GPEM
2002
104views more  GPEM 2002»
15 years 3 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
121
Voted
NIPS
2004
15 years 5 months ago
Implicit Wiener Series for Higher-Order Image Analysis
The computation of classical higher-order statistics such as higher-order moments or spectra is difficult for images due to the huge number of terms to be estimated and interprete...
Matthias O. Franz, Bernhard Schölkopf