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NLP makes use of computers, image scanners, microphones, and many types of software programs. Language technology – consists of natural-language processing (NLP) and computational linguistics (CL) on the one hand, and speech technology on the other. It also includes many application oriented aspects of these.
The methods of neuro-linguistic programming are the specific techniques used to perform and teach neuro-linguistic programming, [1] [2] which teaches that people are only able to directly perceive a small part of the world using their conscious awareness, and that this view of the world is filtered by experience, beliefs, values, assumptions, and biological sensory systems.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...
NLP posits that consciousness can be divided into conscious and unconscious components. The part of our internal representations operating outside our direct awareness is referred to as the "unconscious mind". [j] Finally, NLP uses a method of learning called "modeling", designed to replicate expertise in any field.
To create or improve articles on the significant individual sub-topics within NLP, such as core concepts, different working methods, major techniques, principles, methodologies, terminologies. To standardize the structure of these as far as possible, and give them a commonality in approach, to the reader, perhaps using a standard template to ...
Stages-of-growth model is a theoretical model for the growth of information technology (IT) in a business or similar organization. It was developed by Richard L. Nolan during the early 1970s, and with the final version of the model published by him in the Harvard Business Review in 1979.
Information extraction is the part of a greater puzzle which deals with the problem of devising automatic methods for text management, beyond its transmission, storage and display. The discipline of information retrieval (IR) [ 3 ] has developed automatic methods, typically of a statistical flavor, for indexing large document collections and ...