Computer Science and Information Technology Vol. 3(1), pp. 1 - 7
DOI: 10.13189/csit.2015.030101
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Communications between Deaf and Hearing Children Using Statistical Machine Translation

Mahdiyeh Alimohammadi ^*, Moteza Zahedi
College of Computer Engineering, Shahrood University, Iran

ABSTRACT

Communication with hearing people society is an important problem for deaf people. They have not learned the valid rules of spoken language that hearing people use them. We therefore prepare an efficient corpus and apply it to Moses Machine Translation to simplify these communications. We choose communications between children because they use e-communications more than adults. All systems that automatically process sign language corpus rely on appropriate data. So our corpus with a limited set of words and with specific subject is the first Persian corpus containing Persian language, PL, and Persian sign language, PSL, based on the domain of children's conversations. At the first step raw data are pre-processed which provides necessary information for translation. These data are statistic information extracted of sentences. After getting important data from initial sentences, the corpus is applied for training of Moses machine translation. In addition to the main goal of this system, we can educate deaf people the valid Persian grammar that is a problem for deaf people in school and society. In this paper, we compare our results with the results taken from the Moses decoder in other spoken languages that indicate our purpose is applicable in the real world.

KEYWORDS
Persian Sign Language, Children Communications, Statistical Machine Translation, Sign Language

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Mahdiyeh Alimohammadi , Moteza Zahedi , "Communications between Deaf and Hearing Children Using Statistical Machine Translation," Computer Science and Information Technology, Vol. 3, No. 1, pp. 1 - 7, 2015. DOI: 10.13189/csit.2015.030101.

(b). APA Format:
Mahdiyeh Alimohammadi , Moteza Zahedi (2015). Communications between Deaf and Hearing Children Using Statistical Machine Translation. Computer Science and Information Technology, 3(1), 1 - 7. DOI: 10.13189/csit.2015.030101.