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Capturing the distinction between translated vs. original (i.e. non-translated) language varieties holds centre stage in corpus-based translation studies and related fields such as supervised machine learning. A similar question also holds for native vs. proficient non-native speakers' production. In both cases, the linguistic features that seem to be good indicators of the different language varieties appear to be genre-dependent. In the articles included in this volume, genre-controlled multilingual corpora are used to identify and measure two competing properties of both translational and...

This volume contributes to filling a gap in corpus-based research by investigating the ways in which linguistic features vary across genres/registers cross-linguistically. It brings together insightful chapters by leading scholars in the field, fruitfully exploiting genre- or register-controlled multilingual parallel and comparable corpora to: (i) problematize cross-register variation in a multilingual perspective, (ii) address methodological and theoretical issues raised by register-oriented contrastive and translation studies, (iii) investigate the cross-linguistic and cross-genre variation...