Register Studies - Current Issue

For over 30 years, corpus research on register variation has expanded our understanding of language use by illustrating how linguistic features co-occur and vary in different situations of use (Biber & Conrad 2019). Over the same period, Task-based Language Teaching (TBLT) has provided a theoretical and empirical basis for research in instructed Second Language Acquisition/SLA (Ellis 2012). This paper illustrates how the methods and approaches used in register analysis offer a useful framework for understanding critical issues in TBLT (e.g., describing tasks and interpreting task performance). The paper compares register analysis and TBLT and then draws upon recent empirical work demonstrating how a register approach (a) identifies a wider range of linguistic and non-linguistic variables than are generally in TBLT; and, (b) provides a useful framework to functionally interpret task performance. The paper ends by discussing how a register perspective can benefit future areas of investigation in task-based second language research.

This study applies additive Multi-Dimensional Analysis (MDA) (Biber 1988) to explore the linguistic characteristics of ‘school English’ or ‘textbook English’. It seeks to find out how text registers commonly featured in English as a Foreign Language (EFL) textbooks differ from comparable registers found outside the EFL classroom. To this end, a Textbook English Corpus (TEC) of 43 coursebooks used in European schools is mobilised. The texts from six textbook register subcorpora and three target language corpora are mapped onto Biber’s (1998) ‘Involved vs. Informational’ dimension of General English. Register accounts for 63% of the variance in these dimension scores in the TEC. Additional factors such as textbook level, series and country of publication/use only play a marginal role in mediating textbook register variation. Textbook dialogues score considerably lower than the Spoken BNC2014, whereas Textbook Fiction scores closest to its corresponding reference Youth Fiction Corpus. Pedagogical and methodological implications are discussed.

To complement earlier studies of writing development in the BAWE corpus of successful student writing (Nesi & Gardner 2012; Staples et al. 2016), we examine the Systemic Functional Linguistics notion of Theme as used by L2 writers across first- and third-year and in two distinctive discourse types: persuasive/argumentative Discursive writing of assignments in the soft disciplines and Experimental report writing of assignments in the hard sciences. Theme analysis reveals more substantial differences across the two discourse types than between first- and third-year L2 undergraduate writing. Textual Themes are consistently more frequent than interpersonal Themes, and some variance is found within subcategories of each. Significant differences in lexical density occur across third-year discourse types and between first- and third-year Experimental writing where a predominance of N+N topical Themes is also found. These findings are important as previous research has tended to focus on L1 Discursive writing.

Corpus approaches underpin a range of postgraduate studies and professional work in language, linguistics, translation and beyond. Awareness of the influences of contextual features on language choice is important for many activities: exploring new text varieties; finding relationships between social factors and language patterning; considering choices for post-editing machine translation; and understanding the very nature of language. Work on register relies on corpus methods, but more support and direction could be offered to help undergraduates gain earlier insights into the power of such corpus analysis. This paper introduces some ways register differences can be revealed through The Prime Machine corpus tool (Jeaco 2017a) and describes the design of a practically-oriented undergraduate module which uses this concordancer. Software features include the organization of texts and presentation of source information for readymade corpora, and methods which can be used to reveal useful starting points for register analysis of do-it-yourself corpora.