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A Unified Algorithm for Extending Classes of Languages Identifiable in the Limit from Positive Data

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Grammatical Inference: Algorithms and Applications (ICGI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4201))

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Abstract

We are concerned with a unified algorithm for extending classes of languages identifiable in the limit from positive data. Let \( {\mathcal L} \) be a class of languages to be based on and let \( {\mathcal X} \) be a class of finite subsets of strings. The extended class of \( {\mathcal L} \), denoted by \( {\mathcal C}({\mathcal L}, {\mathcal X}) \), is defined by these \({\mathcal L} \) and \( {\mathcal X} \). Here we give a sufficient condition for \( {\mathcal C}({\mathcal L}, {\mathcal X}) \) to be identifiable in the limit from positive data and we present a unified identification algorithm for it. Furthermore, we show that some proper subclasses of \( {\mathcal C}({\mathcal L}, {\mathcal X}) \) are polynomial time identifiable in the limit from positive data in the sense of Yokomori.

This work is supported in part by Grants-in-Aid for Scientific Research Nos. 13680435, 16300001 and 18500108 from the Ministry of Education, Culture, Sports, Science and Technology of Japan.

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Wakatsuki, M., Tomita, E., Yamada, G. (2006). A Unified Algorithm for Extending Classes of Languages Identifiable in the Limit from Positive Data. In: Sakakibara, Y., Kobayashi, S., Sato, K., Nishino, T., Tomita, E. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2006. Lecture Notes in Computer Science(), vol 4201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872436_14

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  • DOI: https://doi.org/10.1007/11872436_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45264-5

  • Online ISBN: 978-3-540-45265-2

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