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MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
The "MEG-MASC" dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories.
Inverting and Modeling Morphological Inflection
Previous {``}wug{''} tests (Berko, 1958) on Japanese verbal inflection have demonstrated that Japanese speakers, both adults and children, cannot inflect novel present tense forms to {``}correct{''} past tense forms predicted by rules of existent verbs (de Chene, 1982; Vance, 1987, 1991; Klafehn, 2003, 2013), indicating that Japanese verbs are merely stored in the mental lexicon.
Modeling Hierarchical Syntactic Structures in Morphological Processing
Sentences are represented as hierarchical syntactic structures, which have been successfully modeled in sentence processing.
Phonological (un)certainty weights lexical activation
Spoken word recognition involves at least two basic computations.
