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Distributional Learning of Simple Context-Free Tree Grammars

Identifieur interne : 000924 ( Main/Exploration ); précédent : 000923; suivant : 000925

Distributional Learning of Simple Context-Free Tree Grammars

Auteurs : Anna Kasprzik [Allemagne] ; Ryo Yoshinaka [Japon]

Source :

RBID : ISTEX:B0186252445537B2343714CEAE46FF0F4725DEB8

Abstract

Abstract: This paper demonstrates how existing distributional learning techniques for context-free grammars can be adapted to simple context-free tree grammars in a straightforward manner once the necessary notions and properties for string languages have been redefined for trees. Distributional learning is based on the decomposition of an object into a substructure and the remaining structure, and on their interrelations. A corresponding learning algorithm can emulate those relations in order to determine a correct grammar for the target language.

Url:
DOI: 10.1007/978-3-642-24412-4_31


Affiliations:


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