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» Improving Statistical Word Alignment with Ensemble Methods
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ACL
1998
13 years 9 months ago
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...
Hiyan Alshawi, Srinivas Bangalore, Shona Douglas
CSB
2003
IEEE
14 years 26 days ago
Search for Evolution-Related-Oligonucleotides and Conservative Words in rRNA Sequences
We describe a method for finding ungapped conserved words in rRNA sequences that is effective, utilizes evolutionary information and does not depend on multiple sequence alignment...
Liaofu Luo, Li-Ching Hsieh, Fengmin Ji, Mengwen Ji...
AMC
2005
178views more  AMC 2005»
13 years 7 months ago
Color image segmentation based on three levels of texture statistical evaluation
In this paper a new and efficient supervised method for color image segmentation is presented. This method improves a part of the automatic extraction problem. The basic technique...
Juan B. Mena, José A. Malpica
NAACL
1994
13 years 9 months ago
Use of Lexical and Syntactic Techniques in Recognizing Handwritten Text
The output of handwritten word recognizers (WR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the WR must be initial...
Rohini K. Srihari
ACL
1996
13 years 9 months ago
A New Statistical Parser Based on Bigram Lexical Dependencies
This paper describes a new statistical parser which is based on probabilities of dependencies between head-words in the parse tree. Standard bigram probability estimation techniqu...
Michael Collins