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  2. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    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 ...

  3. Neuro-linguistic programming - Wikipedia

    en.wikipedia.org/wiki/Neuro-linguistic_programming

    [k] While some NLP practitioners have argued that the lack of empirical support is due to insufficient research which tests NLP, [l] the consensus scientific opinion is that NLP is pseudoscience [m] [n] and that attempts to dismiss the research findings based on these arguments "[constitute]s an admission that NLP does not have an evidence base ...

  4. Methods of neuro-linguistic programming - Wikipedia

    en.wikipedia.org/wiki/Methods_of_neuro...

    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.

  5. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    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.

  6. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    TextRank is a general purpose graph-based ranking algorithm for NLP. Essentially, it runs PageRank on a graph specially designed for a particular NLP task. For keyphrase extraction, it builds a graph using some set of text units as vertices. Edges are based on some measure of semantic or lexical similarity between the text unit vertices. Unlike ...

  7. Statistical machine translation - Wikipedia

    en.wikipedia.org/wiki/Statistical_machine...

    In phrase-based translation, the aim was to reduce the restrictions of word-based translation by translating whole sequences of words, where the lengths may differ. The sequences of words were called blocks or phrases, however, typically they were not linguistic phrases , but phrasemes that were found using statistical methods from corpora.

  8. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    The present significance of IE pertains to the growing amount of information available in unstructured form. Tim Berners-Lee, inventor of the World Wide Web, refers to the existing Internet as the web of documents [7] and advocates that more of the content be made available as a web of data. [8]

  9. Natural language understanding - Wikipedia

    en.wikipedia.org/wiki/Natural_language_understanding

    Therefore, systems based on functional languages such as Lisp need to include a subsystem to represent logical assertions, while logic-oriented systems such as those using the language Prolog generally rely on an extension of the built-in logical representation framework.