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In this study, we explore the possibility to predict the semantic category of words from brain signals in a free word generation task. Participants produced single words from different semantic categ...
We examined the contents of language-mediated prediction in toddlers by investigating the extent to which toddlers are sensitive to visual shape representations of upcoming words. Previous studies w...
The present study uses probabilistic models of corpus data in a novel way, to measure and compare the syntactic predictive capacities of speakers of different varieties of the same language. The study...
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space representations for multi...
Recent proposals hold that the cognitive systems underlying language production exhibit computational properties that facilitate communicative efficiency, i.e., an efficient trade-off between producti...

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