Probabilistic learnability of context-free grammars with basic distributional properties from positive examples-Reference-Cited by-同舟云学术

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Probabilistic learnability of context-free grammars with basic distributional properties from positive examples

Published:2016-03 Issue: Volume:620 Page:46-72
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Shibata Chihiro,Yoshinaka Ryo

Funder

JSPS

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference24 articles.

1. Learning regular sets from queries and counterexamples;Angluin;Inform. and Comput.,1987

2. NTS languages are deterministic and congruential;Boasson;J. Comput. System Sci.,1985

3. PAC-learning unambiguous NTS languages;Clark,2006

4. Distributional learning of some context-free languages with a minimally adequate teacher;Clark,2010

5. Learning context free grammars with the syntactic concept lattice;Clark,2010

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2. Reservoir stack machines;Neurocomputing;2022-01

3. Consistent Unsupervised Estimators for Anchored PCFGs;Transactions of the Association for Computational Linguistics;2020-07-01

4. Grammatical Inference of PCFGs Applied to Language Modelling and Unsupervised Parsing;Fundamenta Informaticae;2016-09-30

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