TAKEOVER
a) Keyness
The
lemma ‘takeover’ was the four-hundred and tenth most
significant key word in the BEC corpus.
|
N |
Word |
bec freq. |
bec.lst % |
bnc freq. |
bnc.lst % |
Keyness |
P |
|
410 |
TAKEOVER |
62 |
- |
17 |
- |
64.7 |
0.000000 |
b) Semantic Prosody
A
very small sample size makes any definitive statements unwise. However, it is
possible to define the following small groups.
Left:
Three groups identified.
|
semantic prosody |
frequency/ 49& % |
example |
|
size/money |
5 -
10.2% |
a £2.6
billion
takeover |
|
who
is being taken over/taking over |
5-
10.2% |
the
Guinness takeover |
|
nature
of takeover (3
negative, 1 positive, 3 neutral) |
7-
14.28% |
hostile takeover attractive takeover agreed takeover |
Right:
No clear groups but see colligation section below.
c) Three-word clusters
|
N |
cluster |
Freq. |
|
1 |
in
the takeover |
3 |
|
2 |
takeover
of distillers |
3 |
d) Macro-generic distribution
e) Colligation
COBUILD
Sense 1 (act of gaining control of a company)
100%
of sample
Patterns:
Count noun
the
rival bidder in the takeover battle, takeover rumours
Other
patterns:
i) takeover
+ by (shows who is doing the taking) / takeover + of (shows who is being taken
over)
a
threat of takeover by Seagram, Guinesses’ takeover of
Distillers ...
7
instances - 14.28% of sample
f) Associates
The
word ‘takeover’ was key in 3 files. There were no
associates > =5.