This review article presents evidence for the claim that frequency effects are pervasive in
children's first language acquisition, and hence constitute a phenomenon that any …

There are many questions one can ask about human language: its distinctive properties,
neural representation, characteristic uses including use in communicative contexts …

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 …

Abstract We introduce The Benchmark of Linguistic Minimal Pairs (BLiMP), a challenge set
for evaluating the linguistic knowledge of language models (LMs) on major grammatical …

Rapid progress in machine learning for natural language processing has the potential to
transform debates about how humans learn language. However, the learning environments …

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 …

Is it possible to learn something without being aware of it? How does emotion influence the
way we think? How can we improve our memory? Fundamentals of Cognition, third edition …

A work that reveals the profound links between the evolution, acquisition, and processing of
language, and proposes a new integrative framework for the language sciences. Language …

This chapter highlights the fundamental assumptions shared by all constructionist
approaches, distinguishing them from mainstream generative grammar. In particular …

Children can acquire language from less than 100 million words of input. Large language
models are far less data-efficient: they typically require 3 or 4 orders of magnitude more data …