Abstract
This paper formalises the idea of substitutability introduced by Zellig Harris in the 1950s and makes it the basis for a learning algorithm from positive data only for a subclass of context-free grammars. We show that there is a polynomial characteristic set, and thus prove polynomial identification in the limit of this class. We discuss the relationship of this class of languages to other common classes discussed in grammatical inference. We also discuss modifications to the algorithm that produces a reduction system rather than a context-free grammar, that will be much more compact. We discuss the relationship to Angluin's notion of reversibility for regular languages.
Original language | Undefined/Unknown |
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Title of host publication | Proceedings of The 16th International Conference on Algorithmic Learning Theory |
Editors | Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita |
Publisher | Springer |
Pages | 283-296 |
Number of pages | 14 |
Volume | 3734 LNAI |
Publication status | Published - 2005 |