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Predictive text could allow for an entire word to be input by single keypress. Predictive text makes efficient use of fewer device keys to input writing into a text message, an e-mail, an address book, a calendar, and the like. The most widely used, general, predictive text systems are T9, iTap, eZiText, and LetterWise/WordWise. There are many ...
Example of the partially typed search term baby st being autocompleted to various options. 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.
Many features, such as predictive text, have been adopted by and improved by future generations of keyboard software. However, T9 remains viable. For example, those with larger fingertips still use the T9 based keyboard on smartphones for text entry, because key press accuracy increases with the larger screen area per key on a numeric-style 4× ...
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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.
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.
Performance figures for predictive text examples typically depend on use of natural language. Use of SMS language abbreviations and slang can reduce any advantage. [3] [b] For the tests done by Scott Mackenzie a selection of words from the British National Corpus were used as a representative sample of the English language. [4]
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.