Abstract
Even Linear Language class is a subclass of context-free class. In this work we propose a characterization of this class using a relation of finite index. Theorems are provided in order to prove the consistence of the characterization. Finally, we propose a method to learn this class using a reduction to the problem of learning regular languages.
Work partially supported by the Spanish CICYT under grant TIC93-0633-CO2
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© 1994 Springer-Verlag Berlin Heidelberg
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Sempere, J.M., García, P. (1994). A characterization of even Linear Languages and its application to the learning problem. In: Carrasco, R.C., Oncina, J. (eds) Grammatical Inference and Applications. ICGI 1994. Lecture Notes in Computer Science, vol 862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58473-0_135
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DOI: https://doi.org/10.1007/3-540-58473-0_135
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