International audienceComputational models have played a central role in the debate over language learnability. This article discusses how they have been used in different “stances”, from generative views to more recently introduced explanatory frameworks based on embodiment, cognitive development and cultural evolution. By digging into the details of certain specific models, we show how they organize, transform and rephrase defining questions about what makes language learning possible for children. Finally, we present a tentative synthesis to recast the debate using the notion of learning bias
whether children are able to learn language (or any-thing) because they are equipped with a very pow...
The biases of individual language learners act to determine the learnability and cultural stability ...
We review recent advances towards more cognitively-faithful models of language acquisition and chang...
International audiencecomputational models have played a central role in the debate over language le...
Computational models of early language acquisition 2 How do children acquire the sounds, words, and ...
We examine the success of developmental distributional analysis in English, German and Dutch. We emb...
The nature and amount of information needed for learning a natural language, and the underlying mech...
This special issue showcases recent work on the computational modeling of child language acquisition...
Simon Kirby claimed that human could acquire language only with learning bottoleneck, as opposed to ...
This special issue showcases recent work on the computational modeling of child language acquisition...
This chapter discusses three kinds of linguistic knowledge that pose a challenge to experience-based...
This paper reports progress in developing a computer model of language acquisition in the form of (1...
AbstractSuccessful language acquisition involves generalization, but learners must balance this agai...
This paper reports on a limited model of language evolution that incorporates transmission noise and...
Language acquisition is a special kind of learning problem because the outcome of learning of one ge...
whether children are able to learn language (or any-thing) because they are equipped with a very pow...
The biases of individual language learners act to determine the learnability and cultural stability ...
We review recent advances towards more cognitively-faithful models of language acquisition and chang...
International audiencecomputational models have played a central role in the debate over language le...
Computational models of early language acquisition 2 How do children acquire the sounds, words, and ...
We examine the success of developmental distributional analysis in English, German and Dutch. We emb...
The nature and amount of information needed for learning a natural language, and the underlying mech...
This special issue showcases recent work on the computational modeling of child language acquisition...
Simon Kirby claimed that human could acquire language only with learning bottoleneck, as opposed to ...
This special issue showcases recent work on the computational modeling of child language acquisition...
This chapter discusses three kinds of linguistic knowledge that pose a challenge to experience-based...
This paper reports progress in developing a computer model of language acquisition in the form of (1...
AbstractSuccessful language acquisition involves generalization, but learners must balance this agai...
This paper reports on a limited model of language evolution that incorporates transmission noise and...
Language acquisition is a special kind of learning problem because the outcome of learning of one ge...
whether children are able to learn language (or any-thing) because they are equipped with a very pow...
The biases of individual language learners act to determine the learnability and cultural stability ...
We review recent advances towards more cognitively-faithful models of language acquisition and chang...