Difference between revisions of "User:Darthxaher/Application2010"

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'''4 Why is it you are interested in machine translation? '''
 
'''4 Why is it you are interested in machine translation? '''
   
As a student of Computer Science, I'm personally very interested in fields of Artificial Intelligence, Machine Learning and Pattern Recognition. I think machine translation is one of the most exiting applications in this field. Working on machine translation also involves the unique bonus of getting to know a lot of different languages and cultures, which is its own reward.
+
As a student of Computer Science, I'm personally very interested in fields of Artificial Intelligence, Machine Learning and Pattern Recognition. I think machine translation is one of the most exiting applications in this field. The most interesting thing about Machine Translation is how fundamentally different the various MT techniques are. Whereas rule bases machine translation relies upon extensively on automata theory and pattern matching, Statistical machine translation approach harnesses the essence of statistics and information theory. There have been extensive work in this field in the recent decade and there is much to be done.
  +
Working on machine translation also involves the unique bonus of getting to know a lot of different languages and cultures, which is its own reward.
   
 
'''5 Why is it you are interested in the Apertium Project? '''
 
'''5 Why is it you are interested in the Apertium Project? '''

Revision as of 03:15, 30 March 2010

Google Summer of Code Application 2009
Abu Zaher Md. Faridee
Department of Computer Science and Engineering
Bangladesh University of Engineering and Technology


1 Name

Abu Zaher Md. Faridee

2 Email Address

zaher14@gmail.com

3 Contact Information

IRC: darthxaher@irc.freenode.net

Cell Phone: +880 1714070147

4 Why is it you are interested in machine translation?

As a student of Computer Science, I'm personally very interested in fields of Artificial Intelligence, Machine Learning and Pattern Recognition. I think machine translation is one of the most exiting applications in this field. The most interesting thing about Machine Translation is how fundamentally different the various MT techniques are. Whereas rule bases machine translation relies upon extensively on automata theory and pattern matching, Statistical machine translation approach harnesses the essence of statistics and information theory. There have been extensive work in this field in the recent decade and there is much to be done. Working on machine translation also involves the unique bonus of getting to know a lot of different languages and cultures, which is its own reward.

5 Why is it you are interested in the Apertium Project?


6 Which of the published tasks are you interested in? What do you plan to do?


7 Why should Google and Apertium Sponsor it?

8 How and who will it benefit in society?

9 Work Plan