Hostname: page-component-74656f9884-2dmjx Total loading time: 0 Render date: 2026-11-09T19:05:05.587Z Has data issue: false hasContentIssue false

A multifactorial analysis of contact-induced change in speech reporting in written White South African English (WSAfE)

Published online by Cambridge University Press:  29 April 2019

HAIDEE KRUGER
Affiliation:
Department of Linguistics, Macquarie University / North-West University, Macquarie Walk, North Ryde NSW2109, Australia, haidee.kruger@mq.edu.au
BERTUS VAN ROOY
Affiliation:
UPSET Research Focus Area, North-West University, Hendrik van Eck Blvd, Vanderbijlpark 1911, South Africa, bertus.vanrooy@nwu.ac.za
Rights & Permissions [Opens in a new window]

Abstract

This article presents a corpus analysis of changes over a period of two centuries in speech-reporting constructions in written White South African English (WSAfE), a native variety of English that has been in contact with Afrikaans throughout its history. The analysis is based on register-differentiated comparable diachronic corpora of WSAfE, its parent variety, British English (BrE), and the contact language, Afrikaans. Three related reported-speech constructions are analysed, focusing on changes in the relative frequencies of variants of each construction. These constructions show ongoing change, with similar trajectories of change for WSAfE and BrE in some cases, but divergent trajectories in others. In the latter case, WSAfE and Afrikaans converge on similar frequency distributions, which follow from an accelerated rate of change or a slowing down of the rate of change for particular features in WSAfE in comparison to BrE. Descriptive findings are supported by conditional inference tree modelling. The effect of frequency on reinforcing similar patterns of change in WSAfE and Afrikaans, as well as simplification through the levelling of register differences in WSAfE and Afrikaans are proposed as explanations. The study highlights the importance of converging norms in a multilingual publication industry as a site of contact.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019
Figure 0

Table 1 Word counts for BrE corpus

Figure 1

Table 2 Word counts for WSAfE corpus

Figure 2

Figure 1 Proportional frequency of positional variants for the reporting clause across four periods: BrE fiction

Figure 3

Figure 2 Proportional frequency of positional variants for the reporting clause across four periods: WSAfE fiction

Figure 4

Figure 3 Proportional frequency of positional variants for the reporting clause across four periods: BrE reportage

Figure 5

Figure 4 Proportional frequency of positional variants for the reporting clause across four periods: WSAfE reportage

Figure 6

Figure 5 Conditional inference tree for the choice of positional variant (Fin=final, In=initial, Med=medial), with Register, Period and Variety as predictors

Figure 7

Figure 6 Proportional frequency of positional variants for the reporting clause: Afrikaans

Figure 8

Figure 7 Proportional frequency of inverted vs non-inverted order in reporting clauses with pronoun subjects across four periods: BrE

Figure 9

Figure 8 Proportional frequency of inverted vs non-inverted order in reporting clauses with pronoun subjects across four periods: WSAfE

Figure 10

Figure 9 Conditional inference tree for quotative inversion with pronoun subjects, with Register, Period and Variety as predictors

Figure 11

Figure 10 Proportional frequency of inverted vs non-inverted order in reporting clauses with noun subjects across four periods: BrE

Figure 12

Figure 11 Proportional frequency of inverted vs non-inverted order in reporting clauses with noun subjects across four periods: WSAfE

Figure 13

Figure 12 Conditional inference tree for quotative inversion with noun subjects, with Register, Period and Variety as predictors

Figure 14

Figure 13 Proportional frequency of dat present and absent: Afrikaans

Figure 15

Figure 14 Proportional frequency of that present and absent across four periods: BrE fiction

Figure 16

Figure 15 Proportional frequency of that present and absent across four periods: WSAfE fiction

Figure 17

Figure 16 Proportional frequency of that present and absent across four periods: BrE reportage

Figure 18

Figure 17 Proportional frequency of that present and absent across four periods: WSAfE reportage

Figure 19

Figure 18 Proportional frequency of that present and absent across four periods: BrE letters

Figure 20

Figure 19 Proportional frequency of that present and absent across four periods: WSAfE letters

Figure 21

Figure 20 Conditional inference tree for complementiser omission, with Register, Period and Variety as predictors