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...Survey exploring disuencies for speech to text machine translation nikhil saini preethi jyothi and pushpak bhattacharyya department of computer science engineering indian institute technology bombay mumbai india nikhilra pjyothi pb cse iitb ac in abstract chat bots search engines tness apps sleep moni toring spam detection email many more spoken language is different from the written natural processing nlp it be its style structure disuen comesmoreandmorecriticaltodeal with sponta cies that appear transcriptions neous such as dialogs between two people recognition systems generally hamper per or even multi party meetings goal this formance downstream tasks thus a can summarization disuency correction system converts dis real time audio dub uent great value paper talks about present bing subtitle generation simply archiving later we dialog meeting form describe methodologies correct are disruptions regular ow ut typically occurring conversational terance via various approaches viz they ...