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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.
Botnik's main tool is a predictive text keyboard, similar to one used by a smartphone. It offers options of words to type based on what has been previously entered, meaning that if the tool has analyzed a body of text it will find combinations of words likely to be used by a particular author [4] whose text has been 'scraped' by the system.
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 ...
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 ...
Survey ("S") The first step, survey, skim, or scan advises that one should resist the temptation to read the book and instead first go through a chapter and note the headings, sub-headings, and other outstanding features, such as figures, tables, marginal information, and summary paragraphs.
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.
Distant reading is an approach in literary studies that applies computational methods to literary data, usually derived from large digital libraries, for the purposes of literary history and theory. While the term is collective, and is used to refer to a range of different computational methods of analysing literary data, similar approaches ...
Corpus of Linguistic Acceptability (CoLA) is a dataset the primary purpose of which is to serve as a benchmark for evaluating the ability of artificial neural networks, including large language models, to judge the grammatical correctness of sentences. It consists of 10,657 English sentences from published linguistics literature that were ...
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