A computational model of children's semantic memory is built from the Latent Semantic Analysis (LSA) of a multisource child corpus. Three tests of the model are described, simulating a vocabulary test, an association test and a recall task. For each one, results from experiments with children are presented and compared to the model data. Adequacy is correct, which means that this simulation of children's semantic memory can be used to simulate a variety of children's cognitive processes
Many modern NLP models are already close to simulating children's language acquisition; the main thi...
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. Intelligent ...
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. Intelligent ...
26th Annual Conference of the Cognitive-Science-Society, Chicago, IL, AUG 04-07, 2004International a...
26th Annual Conference of the Cognitive-Science-Society, Chicago, IL, AUG 04-07, 2004International a...
A computational model of children's semantic memory is built from the Latent Semantic Analysis (LSA)...
The goal of this paper is to present a model of children's semantic memory, which is based on a corp...
The goal of this paper is to present a model of children's semantic memory, which is based on a corp...
The goal of this paper is to present a model of children's semantic memory, which is based on a corp...
Young children, with no prior knowledge, learn word meanings from a highly noisy and ambiguous input...
Young children, with no prior knowledge, learn word meanings from a highly noisy and ambiguous input...
International audienceCurrent models of long-term memory and semantic memory assume that abstract re...
This special issue showcases recent work on the computational modeling of child language acquisition...
This special issue showcases recent work on the computational modeling of child language acquisition...
We evaluated a simple computational model of productive vocabulary acquisition, applied to simulatin...
Many modern NLP models are already close to simulating children's language acquisition; the main thi...
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. Intelligent ...
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. Intelligent ...
26th Annual Conference of the Cognitive-Science-Society, Chicago, IL, AUG 04-07, 2004International a...
26th Annual Conference of the Cognitive-Science-Society, Chicago, IL, AUG 04-07, 2004International a...
A computational model of children's semantic memory is built from the Latent Semantic Analysis (LSA)...
The goal of this paper is to present a model of children's semantic memory, which is based on a corp...
The goal of this paper is to present a model of children's semantic memory, which is based on a corp...
The goal of this paper is to present a model of children's semantic memory, which is based on a corp...
Young children, with no prior knowledge, learn word meanings from a highly noisy and ambiguous input...
Young children, with no prior knowledge, learn word meanings from a highly noisy and ambiguous input...
International audienceCurrent models of long-term memory and semantic memory assume that abstract re...
This special issue showcases recent work on the computational modeling of child language acquisition...
This special issue showcases recent work on the computational modeling of child language acquisition...
We evaluated a simple computational model of productive vocabulary acquisition, applied to simulatin...
Many modern NLP models are already close to simulating children's language acquisition; the main thi...
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. Intelligent ...
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. Intelligent ...