期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：2263-2267
出版社：TechScience Publications
摘要：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. Spoken language recognition refers to the automatic process through which we determine or verify the identity of the language spoken in a speech sample. And these are very useful in everyday life for example a machine that takes instructions by voice. Humans are born with the ability of discrimination to discriminate between spoken languages as part of human intelligence 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. Today, automatic spoken language recognition is no longer a part of science fiction. We have seen it being deployed for practical uses 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. Speech is more natural and efficient communication method between human, automatic Speech recognization will continue to find applications. We believe that modern Natural language processing techniques can make possible the use of automatic recognization in audio, speech and language processing to express the programming ideas and thus drastically increases the accessibility of programming to non-expert users. To demonstrate the feasibility of the Natural language Programming and this paper tackles what are perceived to be some of the hardest cases
