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  2. Predictive text - Wikipedia

    en.wikipedia.org/wiki/Predictive_text

    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 ...

  3. Prediction in language comprehension - Wikipedia

    en.wikipedia.org/wiki/Prediction_in_language...

    Prediction in language comprehension. Linguistic prediction is a phenomenon in psycholinguistics occurring whenever information about a word or other linguistic unit is activated before that unit is actually encountered. Evidence from eyetracking, event-related potentials, and other experimental methods indicates that in addition to integrating ...

  4. Modern Language Aptitude Test - Wikipedia

    en.wikipedia.org/wiki/Modern_Language_Aptitude_Test

    The Modern Language Aptitude Test (MLAT) was designed to predict a student's likelihood of success and ease in learning a foreign language. It is published by the Language Learning and Testing Foundation. The Modern Language Aptitude Test was developed to measure foreign language learning aptitude.

  5. Flesch–Kincaid readability tests - Wikipedia

    en.wikipedia.org/wiki/Flesch–Kincaid...

    "The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...

  6. Natural language understanding - Wikipedia

    en.wikipedia.org/wiki/Natural_language_understanding

    The system needs a lexicon of the language and a parser and grammar rules to break sentences into an internal representation. The construction of a rich lexicon with a suitable ontology requires significant effort, e.g., the Wordnet lexicon required many person-years of effort. [27] The system also needs theory from semantics to guide the ...

  7. Fountas and Pinnell reading levels - Wikipedia

    en.wikipedia.org/wiki/Fountas_and_Pinnell...

    Literacy. v. t. e. Fountas & Pinnell reading levels (commonly referred to as "Fountas & Pinnell") are a proprietary system of reading levels developed by Irene Fountas and Gay Su Pinnell and published by Heinemann to support their Levelled Literacy Interventions (LLI) series of student readers and teacher resource products. [1]

  8. 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.

  9. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is an interdisciplinary subfield of computer science and 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.

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