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Communication access realtime translation (CART), also called open captioning or realtime stenography or simply realtime captioning, is the general name of the system that stenographers and others use to convert speech to text. A trained operator writes the exact words spoken using a special phonetic keyboard, or stenography methods, relaying a ...
Skype Qik. v. t. e. Skype Translator is a speech to speech translation application developed by Skype, which has operated as a division of Microsoft since 2018. [1] Skype Translator Preview has been publicly available since December 15, 2015. [2] Skype Translator is available as a standalone app and, as of October 2015, is integrated into the ...
Computer-aided translation (CAT), also referred to as computer-assisted translation or computer-aided human translation (CAHT), is the use of software, also known as a translator, to assist a human translator in the translation process. The translation is created by a human, and certain aspects of the process are facilitated by software; this ...
Zoom says its real-time translation function will be up and running next year for 12 languages. The company demoed the feature Monday during its annual Zoomtopia event, and argued that it’ll ...
Various computer based translation companies were also launched, including Trados (1984), which was the first to develop and market Translation Memory technology (1989), though this is not the same as MT. The first commercial MT system for Russian / English / German-Ukrainian was developed at Kharkov State University (1991).
History of machine translation. Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another. In the 1950s, machine translation became a reality in research, although references to the subject can be found as early as the 17th century.
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v. t. e. Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate. [1][2][3][4] The neural network consisted of two main blocks, an encoder and a decoder, both of LSTM ...
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