Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

The recognition of spoken language has typically been studied by focusing on either words
or their constituent elements (for example, low-level features or phonemes). More recently …

AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

Este livro traça um panorama dos principais pressupostos teóricos e contribuições
analíticas que caracterizam a Linguística Cognitiva. Ao apresentar os principais modelos …

Why do humans make music? Theories of the evolution of musicality have focused mainly
on the value of music for specific adaptive contexts such as mate selection, parental care …

The rise and success of large language models undermines virtually every strong claim for
the innateness of language that has been proposed by generative linguistics. Modern …

Cognitive linguists and psychologists have often argued that language is best understood as
an association network; however while the network view of language has had a significant …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …

This volume outlines a model of language that can be characterized as functionalist, usage-
based, dynamic, and complex-adaptive. The core idea is that linguistic structure is not stable …