• Udaya Raj Dhungana

This research work developed a filtration module of the NLP component for “Translation of English Sign Language into Text”. This filtration module receives the n-gram gestures from the Image Processing (IP) component, generates all possible combination of each word in each gesture, checks the semantic correctness of each combination of the words from which it can build all possible semantically correct sentences and finally chooses the most appropriate combination. This module uses the information generated from the knowledgebase to check the semantic correctness. The results obtained from experiments shows the average accuracy of 87.6%. This module works for any natural language and therefore it is language independent.

NLP, Image Processing, English Sign Language, Gesture, Knowledgebase.

"A NLP Filter Module for Translation of English Sign Language into Text Sentences", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.e200-e208, February-2022, Available :http://www.jetir.org/papers/JETIR2202425.pdf

"A NLP Filter Module for Translation of English Sign Language into Text Sentences", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppe200-e208, February-2022, Available at : http://www.jetir.org/papers/JETIR2202425.pdf