Generally the text transcript generated by automatic speech recognition (ASR) systems is unpunctuated and unsegmented.
the readability of the transcript can be largely improved by the existence of punctuation marks, and the segmentation of the transcript based on punctuation positions will also increase the efficiency of many downstream natural languages processing (NLP) tasks, such as semantic parsing, question answering or machine translation (Matusov et al., 2007;Wang et al., 2010).