Tuesday 23rd of May 2017
 

A Brief Study of Challenges in Machine Translation


H.Mohamed Zakir and M.Shafeen Nagoor

Of late English has become one of the most preferred language worlds over. However, not everyone on this globe is a conversant with this medium of communication. Machine Translation has become indispensable in such a scenario where physical and logical boundaries are vanishing and one need to be able to communicate at will and in a medium which he is conversant with. At present Machine Translation is the most fascinating but equally a challenging problem. Researchers are trying to translate English language to their native language, but achieving a flawless Machine Translation has become a real challenge for researchers all over the world. This paper discusses various open challenges in machine translation with a focus on the problems encountered in English to Urdu Machine Translation. We also discuss the parallel corpora, which we feel is a key concept in Machine Translation and may provide a better solution to these open challenges in Machine Translation.

Keywords: Machine Translation Challenges, Parallel Corpora

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ABOUT THE AUTHORS

H.Mohamed Zakir
The first author has around 9 years of experience in the field of Computer Science in teaching and the software industry. He holds a bachelor degree in Computer Science and Engineering (2006) and his Post graduation in Computer Science (2013).He started his career as a developer engineer in Wins Infotek Private Limited which is a Japan based company. Currently associated with King Faisal University as an IT Trainer. He published a journal titled “Time Comparison Algorithm for University Examination Scheduling” in International Journal of Scientific Research and Innovative Technology

M.Shafeen Nagoor
The second author has around 7 years of experience in the field of Computer Science in teaching. She holds a bachelor degree in Computer Science and engineering (2006) and has dual Post graduation degrees in Business Administration (2010) and Computer Science (2014).Currently associated with King Faisal University as an IT Trainer.


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