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» Learning with Weighted Transducers
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CSL
2002
Springer
13 years 5 months ago
Weighted finite-state transducers in speech recognition
We survey the use of weighted finite-state transducers (WFSTs) in speech recognition. We show that WFSTs provide a common and natural representation for HMM models, context-depend...
Mehryar Mohri, Fernando Pereira, Michael Riley
ACL
1996
13 years 6 months ago
Compilation of Weighted Finite-State Transducers from Decision Trees
We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree predictions specify how to rewrite symbols from an...
Richard Sproat, Michael Riley
ACL
2007
13 years 6 months ago
Bootstrapping a Stochastic Transducer for Arabic-English Transliteration Extraction
We propose a bootstrapping approach to training a memoriless stochastic transducer for the task of extracting transliterations from an English-Arabic bitext. The transducer learns...
Tarek Sherif, Grzegorz Kondrak
EMNLP
2009
13 years 3 months ago
Graphical Models over Multiple Strings
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
Markus Dreyer, Jason Eisner
CORR
2004
Springer
136views Education» more  CORR 2004»
13 years 5 months ago
Algorithms for weighted multi-tape automata
This report defines various operations and describes algorithms for weighted multi-tape automata (WMTAs). It presents, among others, a new approach to multi-tape intersection, mea...
André Kempe, Franck Guingne, Florent Nicart