DocumentCode :
651270
Title :
Natural language processing future
Author :
Surabhi, M. Chandhana
Author_Institution :
Velalar Coll. of Eng. & Technol., Erode, India
fYear :
2013
fDate :
2-3 July 2013
Firstpage :
1
Lastpage :
3
Abstract :
Natural Language Processing is a technique where machine can become more human and thereby reducing the distance between human being and the machine can be reduced. Therefore in simple sense NLP makes human to communicate with the machine easily. There are many applications developed in past few decades in NLP. Most of these are very useful in everyday life for example a machine that takes instructions by voice. There are lots of research groups working on this topic to develop more practical are useful systems. Natural Language Processing holds great promise for making computer interfaces that are easier to use for people, since people will hopefully be able to talk to the computer in their own language, rather than learn a specialized language of computer commands. For programming, however, the necessity of a formal programming language for communicating with a computer has always been taken for granted. We would like to challenge this assumption. We believe that modern Natural Language Processing techniques can make possible the use of natural language to express programming ideas, thus drastically increasing the accessibility of programming to non-expert users. To demonstrate the feasibility of Natural Language Programming, this paper tackles what are perceived to be some of the hardest cases: steps and loops.
Keywords :
natural language interfaces; natural language processing; NLP; computer interfaces; formal programming language; natural language processing; natural language programming; nonexpert users; KEYWORDS: computational linguistics; grammar; languages; parsing; transformational grammar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optical Imaging Sensor and Security (ICOSS), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-0935-3
Type :
conf
DOI :
10.1109/ICOISS.2013.6678407
Filename :
6678407
Link To Document :
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