Tense Error Classification Error Classification .1 Part of Speech Error Classification

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, Universitas Sumatera Utara 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 Universitas Sumatera Utara 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 Universitas Sumatera Utara 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 + Universitas Sumatera Utara 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 Universitas Sumatera Utara CHAPTER V CONCLUSION AND SUGGESTION

5.1 Conclusion