Kind of Error f
N Plural noun
35 287
x 100 12,19
Singular noun 12
287 x 100
4,18 Demonstrative adjective
8 287
x 100 2,79
Auxiliary verb 92
287 x 100
32,06 Abstract noun
9 287
x 100 3,14
Personal pronoun 5
287 x 100
1,74 Finite verb
77 287
x 100 26,83
Preposition 17
287 x 100
5,92 Relative pronoun
6 287
x 100 2,09
Demonstrative pronoun 6
287 x 100
2,09 Adjective of quality
8 287
x 100 2,79
Interrogative adjective 1
287 x 100
0,35 Adverb of manner
3 287
x 100 1,05
Adjective of numeral 3
287 x 100
1,05 Alternative conjunction
2 287
x 100 0,69
Interrogative pronoun 1
287 x 100
0,35 Indefinite pronoun
1 287
x 100 0,35
Possessive adjective 1
287 x 100
0,35
4.2.2 Tense Error Classification
Based on one of the problems that is going to be discussed by the writer in her thesis that the writer wants to find out the tenses errors that are found in the data, so,
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here is the table of distribution that shows the kind of tense of each data that is taken from error and reconstruction table.
Data Number
Kind of Tenses 1
1 Present tense
1 35
Past tense 1
80 Present future tense
1 81
Present tense 1
98 Present tense
2 10
Past tense 2
11 Past tense
2 27
Past tense 2
31 Past tense
2 34
Past tense 2
35 Past tense
4 1
Past tense 4
9 Past tense
4 10
Past tense 4
33 Present tense
6 8
Present tense 6
8 Present future tense
6 16
Present future tense 6
22 Present tense
6 22
Present future tense 7
7 Past tense
7 18
Present tense 7
25 Present tense
7 38
Present tense 7
39 Present continuous tense
7 39
Present tense 8
2 Present tense
8 3
Present tense 8
13 Present tense
8 13
Present future tense 8
14 Present tense
8 15
Present tense 8
19 Present future tense
8 20
Present future tense 8
23 Present tense
8 38
Present future tense 8
38 Present tense
8 40
Present tense 8
42 Present tense
8 43
Present tense 8
44 Present tense
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8 50
Present tense 8
55 Present future tense
8 60
Present future tense 8
61 Present tense
8 65
Present tense 8
66 Present future tense
8 67
Present future tense 8
67 Present tense
8 68
Present tense 8
69 Present tense
8 69
Present perfect tense 8
70 Present tense
8 79
Present tense 8
81 Present tense
8 81
Present future tense 8
91 Present tense
8 93
Present tense 8
100 Present tense
8 102
Present tense 8
103 Present tense
8 108
Present tense 9
9 Present tense
9 14
Present tense 9
18 Present tense
9 18
Present future tense 9
20 Past tense
9 46
Present future tense 9
47 Present future tense
9 49
Present future tense 9
51 Present tense
9 64
Present tense 9
78 Past tense
9 79
Past tense 9
80 Present tense
9 82
Past tense 9
90 Present tense
9 93
Present future tense 9
98 Present tense
9 100
Present tense 9
101 Present future tense
9 103
Present tense 9
104 Present future tense
9 107
Present tense 9
112 Present tense
9 115
Present future tense 9
116 Present future tense
10 3
Present tense 10
14 Past tense
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10 15
Past tense 10
15 Past future tense
10 17
Past tense 10
22 Present future tense
10 28
Present tense 10
29 Present tense
10 29
Present future tense 10
38 Present tense
10 39
Present future tense 10
39 Present tense
10 40
Present tense 10
45 Present future tense
10 49
Present tense 10
65 Present future tense
10 65
Present tense 10
71 Present future tense
10 75
Present tense 10
77 Present future tense
10 80
Present future tense 10
81 Present tense
10 87
Present future tense 11
5 Present tense
11 5
Present future tense 11
22 Present future tense
11 23
Present tense 11
25 Present perfect
11 26
Present tense 11
27 Present tense
11 35
Present tense 11
39 Present tense
From the distribution above, the writer concludes : 1. Present tense
= 64 2. Present continuous tense
= 1 3. Present future tense
= 33 4. Present perfect tense
= 2 5. Past tense
= 18
N = 119 6. Past future tense
= 1 +
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After calculating the data and the writer has got the total data that is symbolized by N is 119.
So, to answer the problem in this thesis, that is to find out which part will be dominant in tense errors, therefore, the writer applies the following formula :
N =
f N
x 100
Kind of Error f
N Present tense
64 119
x 100 53,78
Present continuous tense 1
119 x 100
0,84 Present future
33 119
x 100 27.73
Present perfect tense 2
119 x 100
1,68 Past tense
18 119
x 100 15,13
Past future tense 1
119 x 100
0,84
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CHAPTER V CONCLUSION AND SUGGESTION
5.1 Conclusion