Learning with Weighted Transducers

@inproceedings{Cortes2008LearningWW,
  title={Learning with Weighted Transducers},
  author={Corinna Cortes and Mehryar Mohri},
  booktitle={FSMNLP},
  year={2008}
}
Weighted finite-state transducers have been used successfu lly in a variety of natural language processing applications, including sp eech recognition, speech synthesis, and machine translation. This paper shows how we ighted transducers can be combined with existing learning algorithms to form po werful techniques for sequence learning problems. 

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Speech recognition with weighted finite-state transducers

Mehryar Mohri, Fernando C.N. Pereira, Michael Rile y
In Larry Rabiner an d Fred Juang, editors, Handbook on speech processing and speech communication, Pa rt E: Speech recognition • 2008
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Statistical natural language processi ng

Mehryar Mohri
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