NDLI: Natural language processing future

Content Provider	IEEE Xplore Digital Library
Author	Surabhi, M.C.
Copyright Year	2013
Description	Author affiliation: Velalar Coll. of Eng. & Technol., Erode, India (Surabhi, M.C.)
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.
Starting Page	1
Ending Page	3
File Size	251129
Page Count	3
File Format	PDF
e-ISBN	9781479909360
DOI	10.1109/ICOISS.2013.6678407
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-02
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parsing Transformational grammar KEYWORDS: computational linguistics Languages Grammar
Content Type	Text
Resource Type	Article

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