Revistes Catalanes amb Accés Obert (RACO)

Deformed fuzzy automata for the text error correction problem

Francisco Javier Echanobe Arias, José Ramón Garitagoitia Padrones, José Ramón González de Mendivil, José Javier Astrain Escola

Resum


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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