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Open accessJournal ArticleDOI
Shahida Naz, Memona Rasheed, Tahir Rasheed 
30 Dec 2018
4 Citations
The findings revealed that there is significant correlation between watching Hindi dubbed cartoon and instilling linguistic pattern and culture.
In this paper bimodal approach is proposed to improve the robustness of Hindi speech recognition system.
From our experience of large-scale English-Hindi MT, we are convinced that fluency and fidelity in the Hindi output get an order of magnitude facelift if accurate case markers and suffixes are produced.
In this paper we propose an OCR for printed Hindi text in Devanagari script, using Artificial Neural Network (ANN), which improves its efficiency.
Considering the complexities of Hindi characters, the technique shows an impressive result using a Multilayer Perceptron MLP based classifier.
During simulations and evaluation, the accuracy up to 91.30% is achieved, which is significantly better in comparison to other existing approaches for Hindi parts of speech tagging.

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