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  2. Predictive text - Wikipedia

    en.wikipedia.org/wiki/Predictive_text

    Predictive text is an input technology used where one key or button represents many letters, such as on the physical numeric keypads of mobile phones and in accessibility technologies. Each key press results in a prediction rather than repeatedly sequencing through the same group of "letters" it represents, in the same, invariable order.

  3. T9 (predictive text) - Wikipedia

    en.wikipedia.org/wiki/T9_(predictive_text)

    T9 (predictive text) Logo of T9. T9 is a predictive text technology for mobile phones (specifically those that contain a 3×4 numeric keypad), originally developed by Tegic Communications, now part of Nuance Communications. T9 stands for Text on 9 keys.[1] T9 was used on phones from Verizon, NEC, Nokia, Samsung Electronics, Siemens, Sony Mobile ...

  4. Autocomplete - Wikipedia

    en.wikipedia.org/wiki/Autocomplete

    Autocomplete. Autocomplete, or word completion, is a feature in which an application predicts the rest of a word a user is typing. In Android and iOS [1] smartphones, this is called predictive text. In graphical user interfaces, users can typically press the tab key to accept a suggestion or the down arrow key to accept one of several.

  5. iTap - Wikipedia

    en.wikipedia.org/wiki/ITap

    iTap. iTap is a predictive text technology developed for mobile phones, developed by Motorola employees [1] as a competitor to T9. It was designed as a replacement for the old letter mappings on phones to help with word entry. This makes some of the modern mobile phones features like text messaging and note-taking easier.

  6. Swype - Wikipedia

    en.wikipedia.org/wiki/Swype

    Swype was a virtual keyboard for touchscreen smartphones and tablets originally developed by Swype Inc., [2] founded in 2002, where the user enters words by sliding a finger or stylus from the first letter of a word to its last letter, lifting only between words. [3] It uses error-correction algorithms and a language model to guess the intended ...

  7. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...

  8. Perplexity.ai - Wikipedia

    en.wikipedia.org/wiki/Perplexity.ai

    Perplexity AI is an AI-powered research and conversational search engine that answers queries using natural language predictive text. It is based in San Francisco, California. Founded in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [2] Perplexity works on a freemium model; the free ...

  9. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    A generative pre-trained transformer (GPT) is a type of large language model (LLM) [1][2][3] and a prominent framework for generative artificial intelligence. [4][5] It is an artificial neural network that is used in natural language processing by machines. [6] It is based on the transformer deep learning architecture, pre-trained on large data ...