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» Learning Finite-State Models for Machine Translation
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ACL
2003
14 years 11 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
IJFCS
2006
130views more  IJFCS 2006»
14 years 9 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
ICML
2008
IEEE
15 years 10 months ago
A reproducing kernel Hilbert space framework for pairwise time series distances
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...
Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz ...
ICALT
2008
IEEE
15 years 4 months ago
LEMAT: A Project for Innovation in Teaching Mathematics
“Lemat” is an acronym for Libro Electrónico de Matemáticas, which means Electronic Book of Mathematics. It is a project developed by a group of teachers at secondary school ...
Beatriz Porras, Jose A. Cordon, Juan Manuel Olazab...
BMCBI
2006
150views more  BMCBI 2006»
14 years 9 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky