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Unsupervised Spectral Learning of Finite State Transducers
Published on 2014-11-071781 Views
Finite-State Transducers (FST) are a standard tool for modeling paired input-output sequences and are used in numerous applications, ranging from computational biology to natural language processing.
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Presentation
Unsupervised Learning of Finite State Transducers02:25
Spectral Method02:30
Unsupervised Spectral Method02:41
Solving the rank minimization problem03:27