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Attention and Recombinance
Details
Against the general neglect of attention phenomena in linguistics, this study, anchored in Cognitive Semantics, offers a first systematic adaptation of Leonard Talmy's groundbreaking model of linguistic attention, applied to Webbased data of English from an emerging lexical network of emo(tion). Some fifty basic attention-related factors combine to yield increasingly complex patterns of interaction, convergence, and conflict affecting all levels of linguistic recombination, from simplex morphemes up to the text format. Differences in attentional profiles of linguistic representations may well account for conceptual alternativity, another fundamental cognitive principle in language: In their verbal interactions, interlocutors, in production and reception, will have to attend to bottom-up mechanisms and top-down strategies of attention in organizing conceptual content and conveying subtle ceptions of reality.
Autorentext
The Author: Martina Lampert, (Ph.D. in Slavic, German, and English Linguistics, Habilitation in English Linguistics) has been committed to Cognitive Semantics from the late 1980s. She teaches English linguistics at the University of Mainz.
Inhalt
Contents: Attention in Language and Cognition Attention Metaphors Leonard Talmy's «Factors that Set Strength of Attention» Recombinance: Predictable Compositions and Emergent Composites in the Emo(tion)-Lexicon Attentional Profiles from Phonemes to Text Converging Models: Attention in Language and Neuroscience.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Titel Attention and Recombinance
- Veröffentlichung 08.10.2009
- ISBN 3631592760
- Format Fester Einband
- EAN 9783631592762
- Jahr 2009
- Größe H216mm x B153mm x T27mm
- Autor Martina Lampert
- Untertitel A Cognitive-Semantic Investigation into Morphological Compositionality in English
- Gewicht 685g
- Auflage 1. Auflage
- Features Habilitationsschrift
- Genre Sprach- und Literaturwissenschaften
- Lesemotiv Verstehen
- Anzahl Seiten 446
- Herausgeber Peter Lang
- GTIN 09783631592762