Exposure to Co-Occurrence Regularities in Language Drives Semantic Integration of New Words

• Published in: Journal of experimental psychology. Learning, memory, and cognition memory, and cognition, 2022-07, Vol.48 (7), p.1064-1081
• Main Authors: Savic, Olivera, Unger, Layla, Sloutsky, Vladimir M.
• Format: Article
• Language: English
• Subjects: Associative Learning; Attention; Comparative Analysis; Credibility; Exposure; Eye Movements; Familiarity; Fluency; Human; Humans; Inhibition; Language; Language Development; Language Fluency; Language instruction; Language Processing; Language Usage; Learning; Linguistic Input; Networks; Priming; Semantic Networks; Semantic Priming; Semantics; Sentences; Syntax; Task Analysis; Training; Undergraduate Students; Verbal Fluency; Verbal Learning; Visual Tracking; Vocabulary; Vocabulary Development; Vocabulary learning; Words; Words (Phonetic Units)
• ISSN: 0278-7393; 1939-1285
• DOI: 10.1037/xlm0001122

Human word learning is remarkable: We not only learn thousands of words but also form organized semantic networks in which words are interconnected according to meaningful links, such as those between apple, juicy, and pear. These links play key roles in our abilities to use language. How do words become integrated into our semantic networks? Here, we investigated whether humans integrate new words by harnessing simple statistical regularities of word use in language, including: (a) Direct co-occurrence (e.g., eat-apple) and (b) Shared co-occurrence (e.g., apple and pear both co-occur with eat). In four reported experiments (N = 139), semantic priming (Experiments 1-3) and eye-tracking (Experiment 4) paradigms revealed that new words became linked to familiar words following exposure to sentences in which they either directly co-occurred, or shared co-occurrence. This finding highlights a potentially key role for co-occurrence in building organized word knowledge that is fundamental to our unique fluency with language.