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As we are growing in new era of advance technology with Petascale computing, high bandwidth of data transmission, big data storage and the next generation of digital world. It a high time to have smart and intelligent class rooms which will subside all the traditional way of teachings. And make the end to end process of teaching and learning easy and smart. Making students and teachers a witness of next generation of high computing and urbane digital devices.The Smart and intelligent classroom will make the teaching process easy, cost effective and eco-friendly. With the help of gesture recognition (voice, facial, lip movement and eye tracking) the intelligent system will able to take its own decision over the lectures. Enhanced speech technology would help the student in converting the text into speech vice versa. The teachers using the enhanced intelligent tools and technique can directly write on Smart /Media board using his or her gesture, speech or pointing devices. Smart and intelligent teaching environment, will make students and teachers to access quality of information more quickly, effortless and perfectly.

Evaluation plays a vital role in checking the quality of MT output. It is done either manually or automatically. Manual evaluation is very time consuming and subjective, hence use of automatic metrics is done most of the times. This paper evaluates the translation quality of different MT Engines for Hindi-English (Hindi data is provided as input and English is obtained as output) using various automatic metrics like BLEU, METEOR etc. Further the comparison automatic evaluation results with Human ranking have also been given.

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