It can be observed from Table 4 that the multiInput-CNN model performs best with a combination of words and syl-ngrams for Hindi and Telugu language datasets, while a combination of word and char-ngrams performed best for the English language datasets.
as a future work, we can experiment with attention based models, which can choose the best combination of inputs for the multiInput-CNN model.