Memory is fleeting. New material rapidly obliterates previous material. How, then, can the
brain deal successfully with the continual deluge of linguistic input? We argue that, to deal …

This paper presents a novel exploration of the interaction between generative AI models,
visualization, and narrative generation processes, using OpenAI's GPT as a case study …

Abstract Christiansen & Chater (C&C) propose that language comprehenders must
immediately compress perceptual data by “chunking” them into higher-level categories …

Recent research on natural language processing tools, motivated by the need to improve
their efficiency to handle web-scale data, has arrived at models that remarkably match the …

If human language must be squeezed through a narrow cognitive bottleneck, what are the
implications for language processing, acquisition, change, and structure? In our target …

Signed and spoken languages emerge, change, are acquired, and are processed under
distinct perceptual, motor, and memory constraints. Therefore, the Now-or-Never bottleneck …

Christiansen and Chater's Now-or-Never framework is similar to the Good-Enough
Language Processing model (Ferreira, Bailey, & Ferraro, 2002), particularly in its emphasis …

If memory constraints were the only limitation on language processing, the best possible
language would be one with only one word. But to explain the rich structure of language, we …

This commentary raises two issues:(1) Language processing is hastened not only by
internal pressures but also externally by turntaking in language use;(2) the theory requires …

Christiansen & Chater (C&C) ignore the many linguistic universals that cannot be reduced to
processing or cognitive constraints, some of which we present. Their claim that grammar is …