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Books > Language & Literature > Language & linguistics > Grammar, syntax, linguistic structure
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Structuring the Lexicon - A Clustered Model for Near-Synonymy (Hardcover)
Loot Price: R4,750
Discovery Miles 47 500
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Structuring the Lexicon - A Clustered Model for Near-Synonymy (Hardcover)
Series: Cognitive Linguistics Research [CLR]
Expected to ship within 12 - 17 working days
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Total price: R4,770
Discovery Miles: 47 700
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Given that we lack sensory-motor experience for abstract concepts,
how do we find out what they mean? How far can we get by tracking
frequency distributions in input? The volume tackles the question
of what language has to offer the language learner in his/her quest
for meaning, and explicitly addresses how semantic knowledge may be
distributed along the continuum from "grammar" to "lexicon". Focus
is on the synonymy of constructions and lexemes, a meaning relation
that has been largely ignored in Western linguistics. Frequency in
all its guises plays a major part in this book. Approaching meaning
from a usage-based perspective, a radically distributional approach
to quantifying meaning is proposed that encompasses both the
constructional and lexical level. Statistical data analysis,
relatively new in the field of linguistics, yields a cognitively
realistic, clustered model that encourages re-evaluating existing
accounts of near-synonymy. Theoretical concepts spanning a range of
cognitive linguistic frameworks, i.e. Cognitive Grammar, Radical
Construction Grammar and Prototype Theory, account for the
complexity of the data and lead to a re-appraisal of traditional
semantic theory. Built on a solid empirical foundation, this
network account of synonymy at the constructional and lexical level
enriches our understanding of established aspects of the cognitive
model of language, serving as catalyst for their further
development and refinement. The theoretically informed combination
of descriptive accuracy and methodological innovation makes the
book a worthwhile read for cognitive linguists and psycholinguists
alike.
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