| Autor: |
Yamasaki, Brianna, Dronjic, Vedran, Nathaniel, Upasana, Lytle, Marisa, Eidelsztein, Stav, Nir, Bracha, Bitan, Tali, Booth, James |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.17605/osf.io/vh7gj |
| Popis: |
Morphology plays a critical role in effectively using and understanding a language. Therefore, it is important to identify the factors that contribute to the success with which individuals are able to learn morphological regularities. Towards this aim, the current study explores the role of prior knowledge in learning derivational morphemes in an artificial language. Consistent with the Complementary Learning Systems theory, it is hypothesized that native English-speaking participants will demonstrate faster consolidation and thus better learning for morphological regularities that are consistent with morphological structures in English as opposed to morphological regularities that are infrequent in English. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
