List of tables

Part of

Textbook English: A multi-dimensional approach
Elen Le Foll
[Studies in Corpus Linguistics 116] 2024
► pp. xvii–xviii

List of tables

Table 1.Distribution of the articles a, an and the in the five Malaysian textbooks examined by Mukundan et al. 2012 (as reported in Table 1, p. 69) and in the BNC1994 (as calculated using Sketch Engine)30

Table 2.Comparison of the order of the most frequent prepositions in the BNC1994 and three Malaysian ESL textbooks (reproduced from Mukundan & Roslim 2009: 24)33

Table 3.The levels of the Textbook English Corpus (TEC)71

Table 4.Most widely used lower secondary school textbook series (publisher in brackets) according to the informal market surveys conducted in 2016 with teachers, bookshop assistants, and publishers in France, Germany, and Spain74

Table 5.Composition of the Textbook English Corpus (TEC) (the full bibliographic metadata is available on

)76

Table 6.Distribution of textbook register categories in the TEC81

Table 7.Summary of the regular expressions (regex) used to process the Spoken BNC2014 (see Appendix B.2.1 for full script)92

Table 8.Composition of the Informative Texts for Teens Corpus95

Table 9.Selected normalised feature counts (per 100 words) in three texts98

Table 10.Features with a minimum factor loading of ±0.35 that make up Biber’s (1988) seven-factor solution102

Table 11.The computation of dimension scores on the basis of normalised frequencies105

Table 12.The computation of dimension scores on the basis of standardised frequencies (z-scores)105

Table 13.Summary of Biber’s six dimensions of English (1988)106

Table 14.Textbook English Corpus (TEC) text files included in this study114

Table 15.Excerpt of Appendix C: Operationalisation of ‘do as an auxiliary’ (DOAUX)117

Table 16.Summary of the terminology used in the evaluation of the MFTE120

Table 17.Features entered in the intra-textbook MDA and their loadings on the four dimensions of interest149

Table 18.Summary of the model: lmer(PC1 _~ Register + Level + Level*Register + (1|Series))153

Table 19.Estimated differences between mean PC1 scores for each TEC register pair (averaged across all textbook levels and series)154

Table 20.List of feature loadings (eigenvectors) in the Textbook English vs. ‘real-world’ English MDA model173

Table 21.Summary of the model: lmer(PC3 ~ 1 + Level + Register + Level*Register + (1|Source))177

Table 22.Summary of the model: lmer(PC1 ~ 1 + Level + Register + Level*Register + (Register|Source))183

Table 23.Summary of the model: lmer(PC2 ~ 1 + Level + Register + Level*Register + (1|Source))189