"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.