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Even deeper problems with neural network models of language
Behavioral and Brain Sciences, 2023Abstract We recognize today's deep neural network (DNN) models of language behaviors as engineering achievements. However, what we know intuitively and scientifically about language shows that what DNNs are and how they are trained on bare texts, makes them poor models of mind and brain for language organization, as it interacts with infant biology,
Thomas G. Bever +3 more
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A Descriptive Characterisation of Even Linear Languages
Grammars, 2003The Büchi-Elgot-Trakhtenbrot Theorem states that the regular languages are exactly those that can be defined by formulas of monadic second-order predicate logic with equality having predicate symbols \(S\) for successor and \(Q_a\) for every terminal letter \(a\) (informally stated with the semantics that \(Q_a(x)\) states that at position \(x\) in the
Tore Langholm, Marc Bezem
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A NOTE ON THE GRAMMATICAL INFERENCE PROBLEM FOR EVEN LINEAR LANGUAGES [PDF]
This note introduces subclasses of even linear languages for which there exist inference algorithms using positive samples only.
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An algorithm for constructing an even grammar from a language sample
Proceedings of the 42nd annual Southeast regional conference, 2004Two skeleton based algorithms are presented for the grammatical inference problem. The first demonstrates the use of a new relation on internal skeleton nodes that focuses on decedent information. The second addresses those positive samples that contain repeated substrings.
Margaret Ann Francel, David J. John
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Grammars are robustly transmitted even during the emergence of creole languages
Nature Human Behaviour, 2017Most languages of the world are taken to result from a combination of a vertical transmission process from older to younger generations of speakers or signers and (mostly) gradual changes that accumulate over time. In contrast, creole languages emerge within a few generations out of highly multilingual societies in situations where no common first ...
Damián E. Blasi +2 more
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