List of tables

This content is being prepared for publication; it may be subject to changes.

Table 1.1Extra- and intra-territorial forces
(adapted from Buschfeld & Kautzsch, 2017)

Table 2.1Overview of interviewees

Table 2.2Thematic categorisation and aims of interview questions

Table 2.3Demographic breakdown of contributors
to KENC2023 (N = 564)

Table 2.4Participants in situated recordings sourced
via observations

Table 2.5Participants in situated recordings sourced via online posts

Table 2.6Breakdown of mediated data subcorpora

Table 2.7Referencing scheme for the written component
of KENC2023

Table 2.8Referencing scheme for the spoken component
of KENC2023

Table 2.9Pattern-driven approach to frequency analysis

Table 3.1Adjectival collocates of node words (LogDice)

Table 3.2General assessments of English in Kuwait

Table 3.3Positive assessments and evaluations of English

Table 3.4Negative assessments and evaluations of English

Table 3.5Social groups and English

Table 4.1Reference formant values of RP monophthongs
(adapted from Hawkins & Midgley, 2005: 195)

Table 4.2Selected verb-phrase features in English in Kuwait (adapted from Alotaibi, 2016b: 37–8)

Table 5.1High-frequency English-based discourse-pragmatic markers (DPMs) per million words (pmw)

Table 5.2Medium-frequency English-based discourse-pragmatic markers (DPMs) per million words (pmw)

Table 5.3Arabic-based discourse-pragmatic markers (DPMs)
per million words (pmw)

Table 6.1Frequencies (pmw) of particle verbs across corpora

Table 6.2Particle verbs vs simple verbs (pmw) across corpora

Table 6.3Prenomial vs postnomial particle placement (pmw)
in KENC2023

Table 6.4Formal productivity of count, help and sign

Table 6.5Canonical uses of would in British English
(adapted from Deuber et al., 2012: 78)

Table 6.6Distribution of random sample of would in KENC2023 across semantic domains

Table 6.7Distribution of random sample of will in KENC2023 across semantic domains

Table 6.8Frequency-table input format for distinctive collexeme analysis (Gries & Stefanowitsch, 2004)

Table 6.9Collexemes distinguishing between going to and will
in KENC2023

Table 6.10Collexemes distinguishing between going to and will
in BNC2014

Table 6.11Collexemes distinguishing between going to and will
in OANC

Table 6.12Abstract-level vector space modelling (VSM) table

Table 6.13Distinctive collexemes of quite + ADJ in KENC2023
vs BNC2014

Table 6.14Distinctive collexemes of quite + ADJ in KENC2023
vs OANC

Table 6.15Distinctive collexemes of attributive and predicative adjectival constructions in KENC2023

Table 6.16Distinctive collexemes of attributive and predicative adjectival constructions in BNC2014

Table 6.17Distinctive collexemes of attributive and predicative adjectival constructions in OANC

Table 7.1English in Kuwait from a historical perspective

Table 7.2English in Kuwait from a sociolinguistic perspective

Table 7.3Kuwaiti English from a linguistic perspective