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  2. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    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.

  3. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    A set of NLP sentences, with associated ontology defined, can also be used as a pseudo code that does not provide the details in any underlying high level programming language. In such an application the sentences used become high level abstractions (conceptualisations) of computing procedures that are computer language and machine independent.

  4. 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.

  5. ELIZA - Wikipedia

    en.wikipedia.org/wiki/ELIZA

    A conversation with Eliza. ELIZA is an early natural language processing computer program developed from 1964 to 1967 [1] at MIT by Joseph Weizenbaum. [2] [3] Created to explore communication between humans and machines, ELIZA simulated conversation by using a pattern matching and substitution methodology that gave users an illusion of understanding on the part of the program, but had no ...

  6. IBM Watson - Wikipedia

    en.wikipedia.org/wiki/IBM_Watson

    The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.

  7. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a model of natural language. [1] Language models are useful for a variety of tasks, including speech recognition, [2] machine translation, [3] natural language generation (generating more human-like text), optical character recognition, route optimization, [4] handwriting recognition, [5] grammar induction, [6] and information retrieval.

  8. Why Scaling Back On Your Workouts Is The Key To Bigger Gains ...

    www.aol.com/why-scaling-back-workouts-key...

    Try low-impact activities. If you just need a break from higher-intensity workouts, supplement one (or a few) of your days with lower-impact workouts, like cycling, walking , or Pilates , Lampa says.

  9. NLP - Wikipedia

    en.wikipedia.org/wiki/NLP

    NLP commonly refers to: Natural language processing, a field of computer science and linguistics; Neuro-linguistic programming, a pseudoscientific method aimed at ...