On the processing of nonwords in word naming and auditory lexical decision
| Autor: | Susanne Gahl, Elnaz Shafaei-Bajestan, Baayen Rh, Chuang Y, Voller M, Peter Hendrix |
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| Rok vydání: | 2020 |
| Předmět: |
060201 languages & linguistics
business.industry Computer science 05 social sciences 06 humanities and the arts 16. Peace & justice computer.software_genre 050105 experimental psychology Text mining 0602 languages and literature Lexical decision task 0501 psychology and cognitive sciences Artificial intelligence business computer Natural language processing Word (computer architecture) |
| Popis: | Nonwords are often used to clarify how lexical processing takes place in the absence of semantics. This study shows that nonwords are not semantically vacuous. We used Linear Discriminative Learning (Baayen et al., 2019) to estimate the meanings of nonwords in the MALD database (Tucker et al., 2018) from the speech signal. We show that measures gauging nonword semantics significantly improve model fit for both acoustic durations and RTs. Although nonwords do not evoke meanings that afford conscious reflexion, they do make contact with the semantic space, and the angles and distances of nonwords with respect to actual words co-determine articulation and lexicality decisions. |
| Databáze: | OpenAIRE |
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