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The Journal of Machine Learning Research
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ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
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ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Distributional learning of some context-free languages with a minimally adequate teacher
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ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
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Towards dual approaches for learning context-free grammars based on syntactic concept lattices
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A language theoretic approach to syntactic structure
MOL'11 Proceedings of the 12th biennial conference on The mathematics of language
Polynomial time learning of some multiple context-free languages with a minimally adequate teacher
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This paper presents an efficient algorithm that identifies a rich subclass of multiple context-free languages in the limit from positive data and membership queries by observing where each tuple of strings may occur in sentences of the language of the learning target. Our technique is based on Clark et al.'s work (ICGI 2008) on learning of a subclass of context-free languages. Our algorithm learns those context-free languages as well as many non-context-free languages.