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The successes and failures of Artificial Neural Networks (ANNs) highlight the importance of innate linguistic priors for human language acquisition

2025-09-10

Abstract excerpt

<p>Artificial Neural Networks (ANNs) equipped with general learning algorithms, but no linguistic knowledge, can learn to associate words with objects in naturalistic scenes when trained on head-mounted video recordings from a single child’s first-person experience. Similarly, ANNs can master syntax when trained on a similar amount of linguistic data a child experiences in a few years. These findings have been tak...

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Literature Corpus work
8745ff03-4594-52cd-aaba-5f9521b82933
DOI
10.31234/osf.io/5wt9m_v2
Open publication

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The successes and failures of Artificial Neural Networks (ANNs) highlight the importance of innate linguistic priors for human language acquisitionDOI 10.31234/osf.io/5wt9m_v2
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