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*ARV: Rasagulla . %ARV: (4.0) Cartoon . err_a_s ::: |
%mor: n:prop|Rasagulla . *ARV: Police miss .
%gra: 1|0|INCROOT 2|1|PUNCT %mor: n:prop|Police n|miss .
%snd: <00:39:00><00:43:00> %gra: 1|2|MOD 2|0|INCROOT
%ARV: (3.0) Rasagulla . err_a_s ::: | 3|2|PUNCT
*ARV: Cartoon . %snd: <00:54:00><00:58:00>
%mor: n:prop|Cartoon . %ARV: er(2.0) Police er (2.0) miss .
%gra: 1|0|INCROOT 2|1|PUNCT err_a_s ::: |
%snd: <00:43:00><00:54:00> @End
Appendix B
A Sample of the Output Derived from CALF Tool
Basic Statistics
1 Total words 36
2 Total pruned words 27
3 Total Time 0.966667
Complexity Section
4 Number of AS Units 9
5 Total number of clauses 9
6 Number of independent clauses 9
7 Number of dependent clauses 0
8 Number of before dependent clauses 0
9 Number of middle embedded dependent 0
clauses
10 Number of after clauses 0
11 Ratio of clauses per AS unit 1
12 Number of pruned words per AS unit 3
13 Number of words per clause 3
Accuracy Section
14 Ratio of error-free clauses 0.111111
15 Errors per 100 words 18.51852
16 Syntactic errors per 100 words 14.81481
Indian Journal of Educational Technology 249
Volume 3, Issue 2, July 2021