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Identification of reversible dependency tree languages
Jérôme Besombes
and Jean-Yves Marion.
In Lubos Popelínský
and Miloslav Nepil, editors,
Proceedings of the 3d Workshop on Learning Language in Logic, pages
11--22, Strasbourg, France, September 2001.
Abstract
We investigate learning dependency grammar from positive data, in Gold's
identification in the limit model. Examples are dependency trees. For this,
we introduce reversible lexical dependency grammars which generate a
significant class of languages. We have demonstrated that reversible
dependency languages are learnable. We provide a O(n2)-time, in the example
size, algorithm.
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