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The shortening of linguistic expressions naturally involves some sort of correspondence between short forms and (some portion of) the respective full forms. Based mostly on data from English and Hebrew this article explores the hypothesis that such correspondence concerns necessary sameness of symbolic form, referring either to graphemic or to a specific level of phonological representation. That level indicates a degree of abstractness defined by language-specific contrastiveness (i.e. “phonemic”). Reference to written form can be shown to be highly systematic in certain contexts, including cases where full forms consist of multiple stems. Specific asymmetries pertaining to the targeting of material by correspondence (e.g. initial vs. non-initial position) appear to be alike for both types of representation, a claim supported by a study based on a nomenclature strictly confined to writing (chemical element symbols).
Notions such as “corpus-driven” versus “theory-driven” bring into focus the specific role of corpora in linguistic research. As for phonology with its intrinsic focus on abstract categorical representation, there is a question of how a strictly corpus-driven approach can yield insight into relevant structures. Here we argue for a more theory-driven approach to phonology based on the concept of a phonological grammar in terms of interacting constraints. Empirical validation of such grammars comes from the potential convergence of the evidence from various sources including typological data, neutralization patterns, and in particular patterns observed in the creative use of language such as acronym formation, loanword adaptation, poetry, and speech errors. Further empirical validation concerns specific predictions regarding phonetic differences among opposition members, paradigm uniformity effects, and phonetic implementation in given segmental and prosodic contexts. Corpora in the narrowest sense (i.e. “raw” data consisting of spontaneous speech produced in natural settings) are useful for testing these predictions, but even here, special purpose-built corpora are often necessary.