Core Vocabulary in Language Representation and Processing
Dados Bibliográficos
| ID | 7150322 |
|---|---|
| Autores | Andrew Wang (0000-0001-8729-0933, The University of Melbourne, autor correspondente), Andrew L Wang (0000-0003-4016-9460, Complex Human Data Hub University of Melbourne), Simon De Deyne (0000-0002-7899-6210, Complex Human Data Hub University of Melbourne), Meredith Mckague (0000-0003-0610-0283, Complex Human Data Hub University of Melbourne), Amy Perfors (0000-0002-6976-0732, The University of Melbourne), Andrew Perfors (Complex Human Data Hub University of Melbourne) |
| Ano | 2025 |
| Volume | 49 |
| Fascículo | 12 |
| Páginas | e70151-e70151 |
| Data de publicação | 2025-12-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Cognitive Science (JOURNAL) |
| Identificadores do periódico | ISSN: 0364-0213 • E-ISSN: 1551-6709 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/cogs.70151 |
| PMID | 41370719 |
| OpenAlex | W4417274994 |
| Idioma | EN |
| Referências citadas | 48 |
The question of which words are most important or fundamental to a language has been explored in many ways. However, many of these approaches place little emphasis on how humans learn, represent, and process language from a psychological perspective. In this study, we define and compare three distinct psycholinguistic measures of core vocabulary—word frequency, age‐of‐acquisition, and centrality in semantic networks—and test how well these core words capture human performance in a word‐guessing game. In two experiments, 1000 participants were given different core words as both hint and target words, with the aim of identifying the target as quickly as possible. We found that while core words in general did not make very effective hints, they were effectively guessed as targets when using hints beyond the sets core words, and furthermore, were better guessed when the core word targets were defined based on centrality in semantic networks rather than linguistic factors like frequency. This finding was consistent across a range of experimental conditions and analyses. We discuss the implications of these findings for representation and processing in semantic memory, and what factors should constitute a human core vocabulary
Centrality · Mental representation · Semantic network · Semantic property · Vocabulary · Action Observation and Synchronization · Neural and Behavioral Psychology Studies · Neurobiology of Language and Bilingualism
Core Vocabulary
Visual Word Recognition of Single-Syllable Words.
Vector-Space Models of Semantic Representation From a Cognitive Perspective
Moving beyond Kučera and Francis
Zipf’s word frequency law in natural language
The “Small World of Words” English word association norms for over 12,000 cue words
Concreteness ratings for 40 thousand generally known English word lemmas
Basic objects in natural categories
Age-of-acquisition ratings for 30,000 English words
A solution to Plato's problem
The Word Frequency Effect in Word Processing
The Large‐Scale Structure of Semantic Networks
JsPsych
How Large a Vocabulary is Needed For Reading and Listening?
Frequency Effects in Language Processing
SimLex-999
Memorability of words in arbitrary verbal associations modulates memory retrieval in the anterior temporal lobe
Semantics
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |