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Thus, there is a need of system which will translate the sign language into normal language which will be understandable by normal. The system proposed and explained in the paper is an efficient solution to this problem. In the system, sign recognition is done using CAMSHIFT and P2DHHM algorithm followed by Haar Cascade Classifier. After sign recognition, the language technology techniques of POS tagging and LALR parser are used to convert recognized sign words into English sentence. Till date no any system has worked on sentence framing. Results shows that this system produces 92% of accurate result which will bridge the gap between impaired and Normal people.<\/jats:p>","DOI":"10.4018\/ijncr.2017010104","type":"journal-article","created":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T14:10:48Z","timestamp":1503929448000},"page":"53-67","source":"Crossref","is-referenced-by-count":1,"title":["Conversion of Tactile Sign Language into English for Deaf\/Dumb Interaction"],"prefix":"10.4018","volume":"6","author":[{"given":"Urmila","family":"Shrawankar","sequence":"first","affiliation":[{"name":"G. H. Raisoni College of Engineering, Nagpur, India"}]},{"given":"Sayli","family":"Dixit","sequence":"additional","affiliation":[{"name":"Serenatics Systems Pvt. Ltd, Pune, India"}]}],"member":"2432","reference":[{"key":"IJNCR.2017010104-0","doi-asserted-by":"crossref","unstructured":"Agarwal, S. R., Agrawal, S. B., & Latif, A. M. (2015, April). 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