Reading Working Papers in Linguistics 4 (2000) - The University of ...

SALIENCE IN LANGUAGE CHANGE
Table 4 Association between recognition scores (percent) and Working Class
linguistic scores (percent non-standard) for selected grammatical
features
Pattern 1. High recognition rate, moderate to high non-standard linguistic
score in all towns:
Reading Milton
Hull
Keynes
Item Feature WC MC WC MC WC MC
No.
1 neg. concord 94 100 69 100 94 100
non-st. score 37 34 67
2 non-st. come 75 63 88 100 81 71
non-st. score 82 57 73
3 non-st. them 50 63 81 100 100 88
non-st. score 67 56 25
Pattern 2. High recognition rate, moderate nonstandard score, individual
towns, with differences in recognition rates between classes:
Presence of feature in MK and Reading, near-absence in Hull:
4 pret. done 100 100 69 100 31 100
non-st. score 36 56 8
High frequency of feature in Hull, lower frequency in MK and Reading:
5 non-st. was 94 87 100 20 100 100
non-st. score 29 21 78
Pattern 3. Low to moderate recognition rate, low nonstandard score, in all
towns:
6 relative what 25 50 0 0 6 0
non-st. score 4 3 26
87