Deformed fuzzy automata for the Text Error Correction Problem

1. Echanobe Arias, Francisco Javier
2. Garitagoitia Padrones, José Ramón
3. González de Mendívil, José Ramón
4. Astrain Escola, José Javier

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Otras publicaciones en: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology

Resumen

A fuzzy method for the text error correction problem is introduced. The method is able to handle insert, delete and substitution errors. Moreover, it uses the measurement level output that an Isolated Character Classifier can provide. The method is based on a Deformed System, in particular, a deformed fuzzy automaton is defined to model the possible errors in the words of the texts. Experimental results show good performance in correcting the three types of errors.

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