Review Article
A Comparative Study of Some Automatic Arabic Text Diacritization Systems
Table 4
Error rates of the HMM-based systems
| Systems | Diacritic error rate: DER (%) | Word error rate: WER (%) | Including ‘no diacritic’ class | Excluding ‘no diacritic’ class | Including ‘no diacritic’ class | Excluding ‘no diacritic’ class | With case ending | Without case ending | With case ending | Without case ending | With case ending | Without case ending | With case ending | Without case ending |
| Mohamed Hadj Ameur et al.‘s work [21] (word-level HMM using Absolut discount smoothing technique) | 10.58 | 8.13 | 12.36 | 9.45 | 23.84 | 12.22 | 22.88 | 11.80 |
| Mohamed Hadj Ameur et al.‘s work [21] (word-level and letter-level HMMs using Absolute discount smoothing technique) | 9.74 | 7.10 | 11.00 | 7.84 | 23.90 | 12.19 | 22.87 | 11.75 |
| Mohamed Hadj Ameur et al.‘s work [21] (word-level HMM using Laplace smoothing technique) | 10.49 | 8.20 | 12.22 | 9.52 | 23.10 | 12.06 | 22.16 | 11.67 |
| Mohamed Hadj Ameur et al.‘s work [21] (word-level and letter-level HMMs using Laplace smoothing technique) | 9.65 | 7.19 | 10.82 | 7.86 | 23.16 | 12.02 | 22.14 | 11.60 |
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