Natural language processing is significant for technological, economical, social, and educational reasons. NLP is undergoing rapid development as its concepts and methods are distributed in a range of new language technologies. Therefore it is important for the society to have operational knowledge of this process. Natural language processing controls all computer use of natural language. At one level, it could be as easy as counting word frequencies to evaluate different writing methods. At the other level, it is the “understanding” of comprehensive human words, and being able to give positive responses to them. Meaning of natural language Natural language is a verbal communication that is employed for daily communication by humans (e.g. English, Spanish, or Swahili) (Steven, Ewan, & Edward, 2009). Contrary to non-natural languages like programming languages and mathematical data, natural languages have developed as they go from generation to generation, and are difficult to determine with precise rules. This term is used to differentiate human languages from formal or computer languages (such as C++, Java or LISP). Natural Language Processing Natural language processing is the technological understanding of languages from computational outlook. It is a study of computer science and linguistics related to the communications between computers and human (natural) languages (Steven, Ewan, & Edward, 2009). Technologies established on natural language processing are becoming progressively well-known. For example, phones and other hand-held devices allow prognostic text and script recognition; web search engines allows information secured in unstructured text to be accessed; machine translation allows the retrieval of texts written in other languages and read in another. By supplying more accepted human-machine programs, and more complicated access to kept information, language processing performs a central function in the multilingual information society. Furthermore, natural language generation systems translate information from computer files into understandable human language. Natural language understanding systems change sections of human language into more formal versions like parse trees or first order system that are simpler for computer programs to use (Yucong & Christophe, 2011). Many hitches within natural language processing affect both creating and understanding; for example, a computer must be equipped with model morphology (the construction of words) to recognize a sentence, and a model of morphology is also considered necessary for making a grammatically acceptable English sentence. Natural language processing has considerable coincide with the study of computational linguistics, and is repeatedly regarded a sub-field of non-natural intelligence. Although natural language processing may include both text and speech, effort on speech processing is normally made in a separate field. In NLP, the computers are developed to understand the commands set in accepted language and act in accordance. Presently, to work with computer, the information is required to be set in formal languages. The formal languages are the understandable machine comm