Part I: The Theory
1: Situating morphology
2: The functions of schemas
3: Motivation in the lexicon
Part II: Using and refining the tools
4: Formalizing morphological phenomena
5: Formalizing inflection
6: Morphologically conditioned phonological alternations
Part III: Beyond morphological theory
7: Language processing and language acquisition through the lens of
Relational Morphology
8: Applying the tools to other domains
9: Coda: What have we done?
References
Index of words and schemas
Index of authors and subjects
Ray Jackendoff is Seth Merrin Professor Emeritus and former
co-director of the Center for Cognitive Studies at Tufts
University; he is currently a Research Affiliate in Brain and
Cognitive Sciences at MIT. He has written widely on syntax,
semantics, the architecture of grammar, the evolution of language,
music cognition, and consciousness. He was the recipient of the
2003 Jean Nicod Prize and the 2014 David Rumelhart Prize, and
has served as President of both the Linguistic Society of America
and the Society for Philosophy and Psychology. He is the author of
the OUP volumes Foundations of Language: Brain, Meaning, Grammar,
Evolution (2002), Simpler
Syntax (with Peter Culicover, 2005), Meaning and the Lexicon: The
Parallel Architecture 1975-2010 (2010), and A User's Guide to
Thought and Meaning (2012).
Jenny Audring is Assistant Professor of Linguistics at Leiden
University. She specializes in morphology and has written
extensively on grammatical gender. Her research interests range
from linguistic complexity and Canonical Typology to Construction
Morphology and morphological theory. She is the co-editor, with
Francesca Masini, of The Oxford Handbook of Morphological Theory
(OUP, 2018) and, with Sebastian Fedden and Greville G. Corbett,
of
Non-Canonical Gender Systems (OUP, 2018).
The Texture of the Lexicon is a reader-friendly introduction to the
framework of Relational Morphology that complements the Parallel
Architecture approach. I believe that readers interested in
morphology at large will find something interesting in this
read.
*David M. Karaj, Linguist*
Review from previous edition This is the best linguistics book of
2020: A comprehensive view of morphological patterns that does not
struggle with, but comfortably explains, the frequently observed
continuity between regular grammatical patterns and
memorized/idiosyncratic forms.
*Martin Haspelmath*
Through extending Jackendoff's Parallel Architecture by a
sophisticated system of co-indexing, the authors develop a
surprising perspective on language as a whole. They overcome the
separation of grammar and lexicon, the contrast of regular and
idiosyncratic items, of productive and unproductive patterns, of
core and periphery. Relational Morphology brings with it a new and
exciting picture of language as an integrated mental capacity.
*Manfred Bierwisch, Humboldt University of Berlin*
Jackendoff and Audring unravel the illusory divide between the
lexicon and grammar to weave together, with enduring insights, a
vast range of semi-regular and fully engaging phenomena.
*Adele Goldberg, Princeton University*
Jackendoff and Audring combine the models of Parallel Architecture
and Construction Morphology to propose an innovative perspective on
the lexicon, morphology, phonology, syntax, semantics, and their
interaction, centered around their simple, but far-reaching,
Relational Hypothesis: all types of linguistic relatedness can be
coded as static relational schemas over fully listed items, but a
subset of those schemas also serve as productive, generative
devices. The authors' wide-ranging exploration lays down the
gauntlet for competing models.
*Andrew Spencer, University of Essex*
This is a lovely book that elaborates the elegant and simple
functional linguistic perspective of Jackendoff's (2002) "Parallel
Architecture" research program into a detailed attempt to explain
what lexical items are. The answer that Jackendoff and Audring
arrive at is surprising: there is no principled distinction between
grammar and lexicon, contrary to what has standardly been assumed.
There is a wealth of fascinating predictions to test here.
*Ted Gibson, Massachusetts Institute of Technology*
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