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PAC-Learning Unambiguous k,l-NTS ≤  Languages

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Grammatical Inference: Theoretical Results and Applications (ICGI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6339))

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Abstract

In this paper we present two hierarchies of context-free languages: The k,l-NTS languages and the k,l-NTS ≤  languages. k,l-NTS languages generalize the concept of Non-Terminally Separated (NTS) languages by adding a fixed size context to the constituents, in the analog way as k,l-substitutable languages generalize substitutable languages (Yoshinaka, 2008). k,l-NTS ≤  languages are k,l-NTS languages that also consider the edges of sentences as possible contexts. We then prove that Unambiguous k,l-NTS ≤  (k,l-UNTS ≤ ) languages be converted to plain old UNTS languages over a richer alphabet. Using this and the result of polynomial PAC-learnability with positive data of UNTS grammars proved by Clark (2006), we prove that k,l-UNTS ≤  languages are also PAC-learnable under the same conditions.

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Luque, F.M., Infante-Lopez, G. (2010). PAC-Learning Unambiguous k,l-NTS ≤  Languages. In: Sempere, J.M., García, P. (eds) Grammatical Inference: Theoretical Results and Applications. ICGI 2010. Lecture Notes in Computer Science(), vol 6339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15488-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-15488-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15487-4

  • Online ISBN: 978-3-642-15488-1

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