Learning linear grammars from structural information

نویسندگان

  • José M. Sempere
  • Antonio Fos
چکیده

A bstract.Lin ear lan guage class is a su bclass of context-free lan guage class. In t his paper, we propose an algorithm to learn linear languages from structural information of t heir strings. We compare our algorithm with other ad apt ed algorit hm from Radhakrishnan an d Nagaraja [RN1]. The proposed method and the adapt ed algorithm are heuristic techniques for the learnin g t asks, and they are useful when only positive structural data is availab le.

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تاریخ انتشار 1996