A hierarchy of language families learnable by regular language learning
Information and Computation
Learnable classes of categorial grammars
Learnable classes of categorial grammars
Inference of Reversible Languages
Journal of the ACM (JACM)
Even linear simple matrix languages: formal language properties and grammatical inference
Theoretical Computer Science
Permutations and Control Sets for Learning Non-regular Language Families
ICGI '00 Proceedings of the 5th International Colloquium on Grammatical Inference: Algorithms and Applications
Comparison of some descriptional complexities of 0L systems obtained by a unifying approach
Information and Computation
Finding consistent categorial grammars of bounded value: a parameterized approach
LATA'10 Proceedings of the 4th international conference on Language and Automata Theory and Applications
Theoretical Computer Science
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We develop a framework based on Hölder norms that allows us to easily transfer learnability results. This idea is concretized by applying it to Classical Categorial Grammars (CCG).