a) Keyness
‘Wall Street’ was the twenty-third most significant two-word
cluster in the BEC corpus.
|
N |
Word |
bec freq. |
bec.lst % |
bnc freq. |
bnc.lst % |
Keyness |
P |
|
23 |
WALL
STREET |
111 |
0.01 |
0 |
- |
237.7 |
0.000000 |
b) Semantic Prosody
Left: Two groups identified.
|
semantic prosody |
frequency/ 126 & % |
example |
|
good news |
13 - 10.31% |
It’s celebration
time on Wall Street. bankers have done
well on Wall Street |
|
bad news |
10 - 7.93% |
a serious setback
on Wall Street Stocks plummeted
on Wall Street the jitters
resumed on Wall Street today |
Right: Four groups identified.
|
semantic prosody |
frequency/ 126
& % |
example |
|
good news (positive) |
8- 6.34% |
Wall Street had
another good year Wall Street’s profit
picture couldn’t be sunnier |
|
bad news (negative) |
11 - 8.73% |
Wall Street crash Wall Street’s darkest
day Wall Street bitterness |
|
people |
9 - 7.14% |
Wall Street analysts Wall Street columnist |
|
companies/institutions |
12 - 9.52% |
Wall Street firms Wall Street’s investment
banks |
c) Three-word
clusters
|
N |
cluster |
Freq. |
|
1 |
on wall street |
38 |
|
2 |
the wall street |
9 |
|
3 |
that wall street |
6 |
|
4 |
wall street was |
6 |
|
5 |
and wall street |
4 |
|
6 |
wall street journal |
4 |
d) Macro-generic
distribution

e) Colligation
i) noun + on + wall street
22 instances - 17.46% of sample

f) Associates
|
N |
WORD |
NO. OF FILES |
AS % |
|
1 |
WALL
STREET |
15 |
100.00 |
|
2 |
THE
DOW |
8 |
53.33 |
|
3 |
ON
WALL |
5 |
33.33 |
|
4 |
NEW
YORK |
5 |
33.33 |