Emotion and cause: Linguistic theory and computational implementation.
Ten target words are selected within the five primary emotions already identified and two emotion verb types (change-of-state emotion verbs and homogeneous state emotion verbs), each of which is the most frequent one for relevant categories. Chapter 6 focuses on the enrichment of the Natural Semanti...
| Publicado en: | Journal of Linguistics Vol. 57; no. 1; pp. 218 - 223 |
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| Autor principal: | |
| Formato: | Book Review |
| Publicado: |
Cambridge University Press
Feb2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | Ten target words are selected within the five primary emotions already identified and two emotion verb types (change-of-state emotion verbs and homogeneous state emotion verbs), each of which is the most frequent one for relevant categories. Chapter 6 focuses on the enrichment of the Natural Semantic Metalanguage (NSM) model introduced in Chapter 1 by integrating the linguistic findings of emotion cause events from Chapters 4 and 5 into it. Lee hypothesizes that such epistemic markers 'tend to appear in constructions of change-of-state emotion verbs rather than that of homogeneous state emotion verbs' (75). Among them, Wierzbicka's (1972) Natural Semantic Metalanguage (NSM) model and Pustejovsky's (1991, 1995) Generative Lexicon (GL) theory are specifically selected as the basic framework for emotion study in this book and the cornerstone of the linguistic model for emotion expression constructed in Chapter 6. |
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