[1] Fromkin, V.: Sign language: Evidence for language universals and the linguistic capacity of the human brain. Sign Language Studies. 59 (1988) 115–127.

[2] Matthew P. Huenerfauth, American Sign Language Natural Language Generation and Machine Translation Systems, Technical Report Computer and Information Sciences University of Pennsylvania MS-CIS-03–32, September 2003.

[3] Gouri Sankar Mishra, Ashok Kumar Sahoo and Kiran Kumar Ravulakollu, Word based statistical machine translation from english text to indian sign language, ARPN Journal of Engineering and Applied Sciences, VOL. 12, NO. 2, 2017.

[4] Dasgupta T., Basu A., Prototype machine translation system from text-to-Indian sign language, Proceedings Of The 13th International Conference On Intelligent User Interfaces, Gran Canaria, Spain, pp. 313–316, 2008.

[5] Humphries, T., & Padden, C. Learning American sign language, Englewood Cliffs, N.J: Prentice Hall (1992).

[6] Kar P., Reddy M., Mukherjee A. and Raina A.M. INGIT: Limited Domain Formulaic Translation from Hindi Strings to Indian Sign Language, International Conference on Natural Language Processing (ICON), Hyderabad, India, 2007.

[7] Pham Thi Coi, The process of language formation of the deaf children in Vietnam, PhD thesis, Institute of Linguistics, 1988 (in Vietnamese).

[8] Vuong Hong Tam, Study the sign language of the deaf Vietnamese, Project report, Institute of Education Science of Vietnam, 2009 (in Vietnamese).

[9] Papineni K., Roukos S., Ward T., Zhu Z-J, BLEU: A method for Automatic Evaluation of Machine Translation, Proceedings of the 20th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, pp 311–318, 2001.

[10] Hovy E.H.: Toward finely differentiated evaluation metrics for machine translation. Proceedings of the Eagles Workshop on Standards and Evaluation, Pisa, Italy, 1999.

[11] NIST report: Automatic evaluation of machine translation quality using N-gram co-occurrene statistics, 2002.