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Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks
May 1993 (vol. 15 no. 5)
pp. 448-458

A formalization of the transducer learning problem and an effective and efficient method for the inductive learning of an important class of transducers, the class of subsequential transducers, are presented. The capabilities of subsequential transductions are illustrated through a series of experiments that also show the high effectiveness of the proposed learning method in obtaining very accurate and compact transducers for the corresponding tasks.

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Index Terms:
inference; pattern recognition; formalization; inductive learning; subsequential transducers; learning; inference mechanisms; learning (artificial intelligence); pattern recognition
Citation:
J. Oncina, P. García, E. Vidal, "Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 5, pp. 448-458, May 1993, doi:10.1109/34.211465
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