Memory as a computational constraint in cross-situational word learning

Autor: Yue, Christine Soh, LaTourrette, Alexander S, Yang, Charles, Trueswell, John
Rok vydání: 2023
Předmět:
Zdroj: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 45, iss 45
Popis: A central challenge of cross-situational word learning is retaining word-referent mappings across exposures. We evaluate Memory-Bound Pursuit (MBP), a hypothesis-testing model of cross-situational word-learning which aims to account for learners’ memory constraints via a single parameter targeting the number of words that can be learned concurrently. Here, we show that by varying this parameter with age, MBP can capture both children’s and adults’ cross-situational word-learning success under varying levels of ambiguity. We also present new experimental findings supporting novel predictions made by MBP about the retention of word-referent mappings across intervening exposures. These findings suggest that MBP provides a strong baseline model of cross-situational word learning, capturing both developmental trends and experimental evidence of memory limitations for word learning.
Databáze: OpenAIRE