Literature Review on Machine Translation Systems for Sign Language Generation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2600-6_31
Reference29 articles.
1. P. Barve, N. Mutha, A. Kulkarni, Y. Nigudkar, Y. Robert, Application of deep learning techniques on sign language recognition—a survey. in ed. by N. Sharma, A. Chakrabarti, V.E. Balas, A.M. Bruckstein, Data Management, Analytics and Innovation. Lecture Notes on Data Engineering and Communications Technologies, vol 70 (Springer, Singapore, 2021). https://doi.org/10.1007/978-981-16-2934-1_14
2. A. Patil, A. Kulkarni, H. Yesane, M. Sadani, P. Satav, Literature survey: sign language recognition using gesture recognition and natural language processing, in N. Sharma, A. Chakrabarti, V.E. Balas, A.M. Bruckstein, Data Management, Analytics and Innovation. Lecture Notes on Data Engineering and Communications Technologies, vol. 70. (Springer, Singapore, 20321). https://doi.org/10.1007/978-981-16-2934-1_13
3. Y. Robert, Y. Nigudkar, A. Kulkarni, N. Mutha, P. Barve, Literature survey: application of machine learning techniques on static sign language recognition, in: ed. by A. Abraham, H. Sasaki, R. Rios, N. Gandhi, U. Singh, K. Ma, Innovations in Bio-Inspired Computing and Applications, IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372, (Springer, Cham, 2021). https://doi.org/10.1007/978-3-030-73603-3_16
4. R. Rajan, R. Sivan, R. Ravindran, K.P. Soman, Rule based machine translation from english to Malayalam, in 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies (2009), pp. 439–441. https://doi.org/10.1109/ACT.2009.113
5. M. Singh, R. Kumar, I. Chana, Corpus based machine translation system with deep neural network for Sanskrit to Hindi translation. Procedia Comput. Sci. 167, 2534–2544 (2020)
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