Data-Intensive Investigations of English

Mikko Laitinen is Professor of English at the University of Eastern Finland. He is an elected member of the Finnish Academy of Sciences and Letters and one of the leaders in the national research infrastructure for digital humanities, FIN-CLARIAH. His research focuses on language change in digital social networks, and he is the principal investigator of 'Weak-Tie Hypothesis in Complex Digital Networks' (COMET), a project funded by the Research Council of Finland. Paula Rautionaho is Senior Researcher at the School of Humanities, University of Eastern Finland. Her research focuses on grammatical alternations in World Englishes and recent British English. She has coedited two volumes in John Benjamin's Studies in Corpus Linguistics series and Routledge's Studies in Sociolinguistics series.

'This timely volume zooms in on recent developments in data-intensive digital tools and methods, and showcases how new approaches can help answer research questions that are firmly grounded in linguistic theory. The editors propose several key benchmarks of data-intensive approaches in the field and outline avenues for multi- and interdisciplinary collaborative research, also drawing attention to the pitfalls and challenges in the ongoing digital transformation of English linguistics. This book is indispensable reading for anyone interested in the future of English-language research.' Marcus Callies, University of Bremen

• 1. Data-intensive approaches to English linguistics Mikko Laitinen, Paula Rautionaho and Irene Taipale; 2. What big data tells us about American English phonetics William A. Kretzschmar, Michael Olsen, Rachel Olsen and Katherine Ireland; 3. Do you reckon? Creating and testing a corpus of spoken southern American English from the digital archive of Southern speech (1970–1983) Keiko Bridwell and Katherine Ireland; 4. 'Scots for the masses'?: Utilising a novel data-analysis facility to statistically explore late modern Scots in the digitised chapbooks collection Sarah van Eyndhoven, Lisa Gotthard and Rosa Filgueira; 5. Combining collocation measures and distributional semantics to detect idioms Gerold Schneider; 6. Using data-intensive methods for unlocking expressiveness in word-formation: the case of English name blending Sabine Arndt-Lappe, Natalia Beliaeva and Audrey Martin; 7. Modals of future time reference across native and non-native Englishes: a variationist analysis Paula Rautionaho and Lea Meriläinen; 8. Bayesian multivariate analysis of complement selection: subject-control complements of the verb Fear Juho Ruohonen and Juhani Rudanko; 9. Statistical modelling of syntactic complexity of English academic texts: syntactic predictors of rhetorical sections Maryam Nasseri; 10. Implications of the replication crisis: some suggestions to improve reproducibility and transparency in data-intensive corpus linguistics Martin Schweinberger.