A classic debate in cognitive science revolves around understanding how children learn complex linguistic patterns, such as restrictions on verb alternations and contractions, without negative evidence. Recently, probabilistic models of language learning have been applied to this problem, framing it as a statistical inference from a random sample of sentences. These probabilistic models predict that learners should be sensitive to the way in which sentences are sampled. There are two main types of sampling assumptions that can operate in language learning: strong and weak sampling. Strong sampling, as assumed by probabilistic models, assumes the learning input is drawn from a distribution of grammatical samples from the underlying language ...
Recent work has raised a question about whether adult language learners take advantage of indirect n...
AbstractSuccessful language acquisition involves generalization, but learners must balance this agai...
been taken, by many cognitive scientists, to have powerful negative implications for the learnabilit...
A classic debate in cognitive science revolves around understanding how children learn complex lingu...
There is much debate over the degree to which language learning is governed by innate language-speci...
There is much debate over the degree to which language learning is governed by innate language-speci...
Linguistic universals arise from the interaction between the processes of language learning and lang...
Sensitivity to distributional characteristics of sequential linguistic and nonlinguistic stimuli, ha...
Successful language acquisition requires both generalization and lexically based learning. Previous ...
Accounts of language acquisition differ significantly in their treatment of the role of prediction i...
Acquiring language is notoriously complex, yet for the majority of children this feat is accomplishe...
Thesis: Ph. D. in Linguistics, Massachusetts Institute of Technology, Department of Linguistics and ...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
How do children learn language in a way that allows generalization -- producing and comprehending ut...
We introduce, discuss, and study a model for inductive inference from samplings, formalizing an idea...
Recent work has raised a question about whether adult language learners take advantage of indirect n...
AbstractSuccessful language acquisition involves generalization, but learners must balance this agai...
been taken, by many cognitive scientists, to have powerful negative implications for the learnabilit...
A classic debate in cognitive science revolves around understanding how children learn complex lingu...
There is much debate over the degree to which language learning is governed by innate language-speci...
There is much debate over the degree to which language learning is governed by innate language-speci...
Linguistic universals arise from the interaction between the processes of language learning and lang...
Sensitivity to distributional characteristics of sequential linguistic and nonlinguistic stimuli, ha...
Successful language acquisition requires both generalization and lexically based learning. Previous ...
Accounts of language acquisition differ significantly in their treatment of the role of prediction i...
Acquiring language is notoriously complex, yet for the majority of children this feat is accomplishe...
Thesis: Ph. D. in Linguistics, Massachusetts Institute of Technology, Department of Linguistics and ...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
How do children learn language in a way that allows generalization -- producing and comprehending ut...
We introduce, discuss, and study a model for inductive inference from samplings, formalizing an idea...
Recent work has raised a question about whether adult language learners take advantage of indirect n...
AbstractSuccessful language acquisition involves generalization, but learners must balance this agai...
been taken, by many cognitive scientists, to have powerful negative implications for the learnabilit...