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Showing 1 - 4 of 4 matches in All Departments
In this book, some of today's leading neurolinguists and psycholinguists provide insight into the nature of phonological processing using behavioural measures, computational modeling, EEG and fMRI. The essays cover a range of topics including categorization, acoustic variability and invariance, underspecification, talker-specificity and machine learning, focusing on the acoustics, perception, acquisition and neural representation of speech.
• Explores the factors that determine the antonymic strength of the pair of opposites; • Questions whether there is a clear distinction between ‘good’ and ‘bad’ opposites, and examines whether the internal structure of the category of antonymy should instead be described in terms of prototype theory; • Interprets the relation between antonymy and cognitive concepts, as well as the words which encode these concepts. Taking a multi-method and cross-linguistic approach, this research is ideal for students and researchers of lexical and cognitive semantics and those with an interest in theoretical linguistics.
* Explores the factors that determine the antonymic strength of the pair of opposites; * Questions whether there is a clear distinction between 'good' and 'bad' opposites, and examines whether the internal structure of the category of antonymy should instead be described in terms of prototype theory; * Interprets the relation between antonymy and cognitive concepts, as well as the words which encode these concepts. Taking a multi-method and cross-linguistic approach, this research is ideal for students and researchers of lexical and cognitive semantics and those with an interest in theoretical linguistics.
In this book, some of today's leading neurolinguists and psycholinguists provide insight into the nature of phonological processing using behavioural measures, computational modeling, EEG and fMRI. The essays cover a range of topics including categorization, acoustic variability and invariance, underspecification, talker-specificity and machine learning, focusing on the acoustics, perception, acquisition and neural representation of speech.
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