Research Article
Mixed Script Identification Using Automated DNN Hyperparameter Optimization
| Reference | Technique | Dataset | Eng-Roman Urdu | Saraiki-Hindi | Ben-Hindi | Eng-Bengali | Saraiki-English | Saraiki-Roman Urdu | Saraiki-Bengali | Eng-Ben-Sar-Hin-RU |
| This paper | GloVe-WCF-LSTM | 0.561 | 0.475 | 0.553 | 0.593 | 0.685 | 0.772 | 0.562 | 0.462 | GloVe-WCF-Bi-LSTM | 0.864 | 0.801 | 0.754 | 0.812 | 0.79 | 0.834 | 0.831 | 0.68 | GloVe-WCF-GRU | 0.809 | 0.829 | 0.845 | 0.812 | 0.803 | 0.89 | 0.88 | 0.783 | GloVe-WCF-Bi-GRU | 0.882 | 0.901 | 0.892 | 0.899 | 0.864 | 0.895 | 0.861 | 0.85 |
| [36] | GloVe-LSTM | — | — | 86.97 | 88.27 | — | — | — | — | GloVe-Bi-LSTM | — | — | 85.49 | 87.57 | — | — | — | — |
| [57] | Char-LSTM | — | — | 57.8 | — | — | — | — | — | Subword-LSTM | — | — | 69.7 | — | — | — | — | — |
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