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» Learning with Weighted Transducers
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ACL
2010
14 years 7 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
NAACL
2010
14 years 7 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 ...
ECML
2001
Springer
15 years 2 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
EUROGP
2003
Springer
15 years 2 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
88
Voted
FLAIRS
2008
14 years 12 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...