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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 ...
Predictive text – Input technology for mobile phone keypads; Qwerty effect – Effects of computer keyboard layout on language and behavior; Search suggest drop-down list – Query feature used in computing; Snippet – Small region of re-usable source code, machine code, or text
Keypad used by T9. T9's objective is to make it easier to enter text messages.It allows words to be formed by a single keypress for each letter, which is an improvement over the multi-tap approach used in conventional mobile phone text entry at the time, in which several letters are associated with each key, and selecting one letter often requires multiple keypresses.
As you’re typing an address, AutoComplete will suggest possible matches. It’s like your best friend who finishes your sentences! This is convenient when you visit certain websites frequently, but also poses a security risk if you’re using a shared computer. Disabling the AutoComplete feature helps you get rid of this risk.
High-level schematic diagram of BERT. It takes in a text, tokenizes it into a sequence of tokens, add in optional special tokens, and apply a Transformer encoder. The hidden states of the last layer can then be used as contextual word embeddings. BERT is an "encoder-only" transformer architecture. At a high level, BERT consists of 4 modules:
Typewise writing assistant is a browser-based predictive text tool designed to increase the speed and quality of written communication, specifically for customer support and sales teams. The company claims it can increase productivity by 2-3 times. [11]
WordWise was not a dictionary-based predictive system, but rather an extension of the LetterWise system to predict whole words from their linguistic components. It was designed to compete with dictionary-based predictive systems such as T9 and iTap which were commonly used with mobile phones with 12-key telephone keypads.
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 ...