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Science --- Pragmatics --- Linguistic analysis (Linguistics) --- Linguistics --- Academic writing. --- Authorship. --- Authoring (Authorship) --- Writing (Authorship) --- Literature --- Learned writing --- Scholarly writing --- Authorship --- Analysis, Linguistic (Linguistics) --- Analysis (Philosophy) --- Grammar, Comparative and general --- Research. --- Academic writing

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Grammatical Complexity in Academic English uses corpus-based analyses to challenge a number of dominant stereotypes and assumptions within linguistics. Biber and Gray tackle the nature of grammatical complexity, demonstrating that embedded phrasal structures are as important as embedded dependent clauses. The authors also overturn ingrained assumptions about linguistic change, showing that grammatical change occurs in writing as well as speech. This work establishes that academic writing is structurally compressed (rather than elaborated); that it is often not explicit in the expression of meaning; and that scientific academic writing has been the locus of some of the most important grammatical changes in English over the past 200 years (rather than being conservative and resistant to change). Supported throughout with textual evidence, this work is essential reading for discourse analysts, sociolinguists, applied linguists, as well as descriptive linguists and historical linguists.

English language --- Complexity (Linguistics) --- Academic writing --- Linguistic change. --- Linguistic analysis (Linguistics) --- Change, Linguistic --- Language change --- Historical linguistics --- Language and languages --- Learned writing --- Scholarly writing --- Authorship --- Grammar. --- Analysis and parsing --- Diagraming --- Composition and exercises --- Research. --- Germanic languages --- English language - Grammar --- Academic writing - Research --- Linguistic change

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Corpora are ubiquitous in linguistic research, yet to date, there has been no consensus on how to conceptualize corpus representativeness and collect corpus samples. This pioneering book bridges this gap by introducing a conceptual and methodological framework for corpus design and representativeness. Written by experts in the field, it shows how corpora can be designed and built in a way that is both optimally suited to specific research agendas, and adequately representative of the types of language use in question. It considers questions such as 'what types of texts should be included in the corpus?', and 'how many texts are required?' - highlighting that the degree of representativeness rests on the dual pillars of domain considerations and distribution considerations. The authors introduce, explain, and illustrate all aspects of this corpus representativeness framework in a step-by-step fashion, using examples and activities to help readers develop practical skills in corpus design and evaluation.

Corpora (Linguistics) --- Design. --- Linguistic analysis (Linguistics) --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Design

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