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Conference Papers Year : 2016

A refined parsing graph approach to learn smaller contextually substitutable grammars with less data

Abstract

We present a refined parsing graph approach to learn smaller contextually substitutable grammars from smaller training samples in the framework initiated by ReGLiS algorithm.
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Dates and versions

hal-01406337 , version 1 (01-12-2016)

Identifiers

  • HAL Id : hal-01406337 , version 1

Cite

François Coste, Mikail Demirdelen. A refined parsing graph approach to learn smaller contextually substitutable grammars with less data. ICGI 2016 - 13th International Conference on Grammatical Inference, Oct 2016, Delft, Netherlands. ⟨hal-01406337⟩
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