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Quasi-compositional mapping from form to meaning: a neural network-based approach to capturing neural responses during human language comprehension

We argue that natural language can be usefully described as quasi-compositional and we suggest that deep learning-based neural language models bear long-term promise to capture how language conveys meaning. We also note that a successful account of human language processing should explain both the o...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Philos Trans R Soc Lond B Biol Sci
Prif Awduron: Rabovsky, Milena, McClelland, James L.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: The Royal Society 2020
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC6939354/
https://ncbi.nlm.nih.gov/pubmed/31840583
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2019.0313
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