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A randomised inference algorithm for regular tree languages

Published online by Cambridge University Press:  21 March 2011

JOHANNA HÖGBERG
JOHANNA HÖGBERG*
Affiliation:
Department of Computing Science, Umeå University, SE–901 87 Umeå, Sweden email: [email protected]
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Abstract

We present a randomised inference algorithm for regular tree languages. The algorithm takes as input two disjoint finite nonempty sets of trees 𝒫 and 𝒩 and outputs a nondeterministic finite tree automaton that accepts every tree in 𝒫 and rejects every tree in 𝒩. The output automaton typically represents a nontrivial generalisation of the examples given in 𝒫 and 𝒩. To obtain compact output automata, we use a heuristics similar to bisimulation minimisation. The algorithm has time complexity of , where n𝒩 and n𝒫 are the size of 𝒩 and 𝒫, respectively. Experiments are conducted on a prototype implementation, and the empirical results appear to second the theoretical results.

Type
Papers
Information
Natural Language Engineering , Volume 17 , Special Issue 2: Finite-State Methods and Models in Natural Language Processing , April 2011 , pp. 203 - 219
Copyright
Copyright © Cambridge University Press 2011

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