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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.
A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.
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 ...
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 ...
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.
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.
LetterWise and WordWise were predictive text entry systems developed by Eatoni Ergonomics (Eatoni) for handheld devices with ambiguous keyboards / keypads, typically non-smart traditional cellphones and portable devices with keypads. All patents covering those systems have expired. [citation needed] LetterWise used a prefix based predictive ...
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 ...