International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 121 - Number 23 |
Year of Publication: 2015 |
Authors: Aditi Kalyani, Priti S. Sajja |
10.5120/21840-4917 |
Aditi Kalyani, Priti S. Sajja . A Review of Machine Translation Systems in India and different Translation Evaluation Methodologies. International Journal of Computer Applications. 121, 23 ( July 2015), 16-23. DOI=10.5120/21840-4917
Despite the linguistic diversity, communication is important for economic and social growth. But it is impossible for a human being to know all languages. This led to the inception of machine translation. Machine Translation (MT) is a field of Artificial Intelligence and Natural Language Processing which deals with translation from one language to another using machine translation system. Even after translation, in order to assess the goodness of MT system i. e. if the translated output is of human translation quality or not, some Evaluation strategy is required. This paper gives a review of the work done on various Indian machine translation systems and existing methods for evaluating the translated MT system's Output.