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The transcripts generated by the Automatic Speech Recognition(ASR) systems are generally unpunctuated. It is hard to understand the semantics of the text without punctuation marks. The punctuation predictor can be used as a post-processing step on ASR transcripts to improve readability. It can also be used as a preprocessing step for the tasks like machine translation and question answering. In this project, we will develop a system to predict the punctuation marks for Unpunctuated Hindi text.
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