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Published in:
2010 | OriginalPaper | Chapter
Transducer Inference by Assembling Specific Languages
Authors : Piedachu Peris, Damián López
Published in: Grammatical Inference: Theoretical Results and Applications
Publisher: Springer Berlin Heidelberg
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Grammatical Inference has recently been applied successfully to bioinformatic tasks as protein domain prediction. In this work we present a new approach to infer regular languages. Although used in a biological task, our results may be useful not only in bioinformatics, but also in many applied tasks. To test the algorithm we consider the transmembrane domain prediction task. A preprocessing of the training sequences set allows us to use this heuristic to obtain a transducer. The transducer obtained is then used to label problem sequences. The experimentation carried out shows that this approach is suitable for the task.