EMPLOYEE
a) Keyness
The
lemma ‘employee’ was the three hundred and seventh most key word
in the BEC corpus.
|
N |
Word |
Freq. |
bec.lst % |
Freq. |
bnc.lst % |
Keyness |
P |
|
74 |
EMPLOYEE |
307 |
0.03 |
94 |
- |
299.6 |
0.000000 |
b) Semantic Prosody:
Left:
One small group identified. Additionally, there were examples found of the nature of the
employees’ relationship to the company (direct
employee, long-term employee) but not
enough to constitute a recognisable group.
|
semantic prosody |
frequency/122 & % |
example |
|
employee’s
company |
12
-9.83% |
Each
Companyname
employee must avoid conflicts a
former Emerson employee |
Right:
One group identified concerning benefits provided by the company for the
employees.
|
semantic prosody |
frequency/122 & % |
example |
|
employee
benefits |
17
- 13.93% |
key
personnel employee benefits employee
retirement plan employee health care employee
restaurants |
c) Three-word clusters
|
N |
cluster |
Freq. |
|
1 |
employee
stock ownership |
5 |
|
2 |
by
the employee |
4 |
|
3 |
the
employee shall |
4 |
|
4 |
the
employee will |
4 |
d) Macro-generic distribution

e) Colligation
COBUILD
Sense 1 (a person who is paid to work for an organisation or another person)
100%
of sample (only one sense given in COBUILD)
Pattern:
Count noun
If an employee is employed monthly ...
Other
patterns:
i) Indefinite expressions of
amount: (each, every)
7
instances - 5.73% of sample
Each employee is required to protect the
group’s interest
Every employee has an impact
f) Associates
|
N |
WORD |
NO. OF FILES |
AS % |
|
1 |
EMPLOYEE |
8 |
100.00 |
|
2 |
COMPANY |
6 |
75.00 |
|
3 |
BUSINESS |
6 |
75.00 |
|
4 |
TAX |
5 |
62.50 |