Dissociating language and thought in large language models

K Mahowald, AA Ivanova, IA Blank, N Kanwisher… - Trends in Cognitive …, 2024‏ - cell.com
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 …

Individual differences in language acquisition and processing

E Kidd, S Donnelly, MH Christiansen - Trends in cognitive sciences, 2018‏ - cell.com
Humans differ in innumerable ways, with considerable variation observable at every level of
description, from the molecular to the social. Traditionally, linguistic and psycholinguistic …

[كتاب][B] Statistics for linguists: An introduction using R

B Winter - 2019‏ - taylorfrancis.com
Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models
for linguistics. The book covers simple uses of linear models through generalized models to …

[كتاب][B] The dynamics of the linguistic system: Usage, conventionalization, and entrenchment

HJ Schmid - 2020‏ - books.google.com
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 …

[كتاب][B] Cognitive gadgets: The cultural evolution of thinking

C Heyes - 2018‏ - books.google.com
“This is an important book and likely the most thoughtful of the year in the social sciences...
Highly recommended, it is likely to prove one of the most thought-provoking books of the …

[كتاب][B] Explain me this: Creativity, competition, and the partial productivity of constructions

AE Goldberg - 2019‏ - books.google.com
Why our use of language is highly creative yet also constrained We use words and phrases
creatively to express ourselves in ever-changing contexts, readily extending language …

What artificial neural networks can tell us about human language acquisition

A Warstadt, SR Bowman - Algebraic structures in natural …, 2022‏ - taylorfrancis.com
Rapid progress in machine learning for natural language processing has the potential to
transform debates about how humans learn language. However, the learning environments …

Building machines that learn and think like people

BM Lake, TD Ullman, JB Tenenbaum… - Behavioral and brain …, 2017‏ - cambridge.org
Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

Large language models demonstrate the potential of statistical learning in language

P Contreras Kallens… - Cognitive …, 2023‏ - Wiley Online Library
To what degree can language be acquired from linguistic input alone? This question has
vexed scholars for millennia and is still a major focus of debate in the cognitive science of …

Arbitrariness, iconicity, and systematicity in language

M Dingemanse, DE Blasi, G Lupyan… - Trends in cognitive …, 2015‏ - cell.com
The notion that the form of a word bears an arbitrary relation to its meaning accounts only
partly for the attested relations between form and meaning in the languages of the world …