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» Learning with Weighted Transducers
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ACL
2010
14 years 9 months ago
Automatic Sanskrit Segmentizer Using Finite State Transducers
In this paper, we propose a novel method for automatic segmentation of a Sanskrit string into different words. The input for our segmentizer is a Sanskrit string either encoded as...
Vipul Mittal
93
Voted
NAACL
2010
14 years 9 months ago
Bayesian Inference for Finite-State Transducers
We describe a Bayesian inference algorithm that can be used to train any cascade of weighted finite-state transducers on end-toend data. We also investigate the problem of automat...
David Chiang, Jonathan Graehl, Kevin Knight, Adam ...
84
Voted
ECML
2001
Springer
15 years 4 months ago
Wrapping Web Information Providers by Transducer Induction
Modern agent and mediator systems communicate to a multitude of Web information providers to better satisfy user requests. They use wrappers to extract relevant information from HT...
Boris Chidlovskii
96
Voted
EUROGP
2003
Springer
15 years 4 months ago
Evolving Finite State Transducers: Some Initial Explorations
Finite state transducers (FSTs) are finite state machines that map strings in a source domain into strings in a target domain. While there are many reports in the literature of ev...
Simon M. Lucas
FLAIRS
2008
15 years 2 months ago
Incorporating Latent Semantic Indexing into Spectral Graph Transducer for Text Classification
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
Xinyu Dai, Baoming Tian, Junsheng Zhou, Jiajun Che...