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Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another.
The Microsoft Translator is a cloud-based automatic translation service that can be used to build applications, websites, and tools requiring multi-language support. Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service.
Google IME, also known as Google Input Tools, is a set of input method editors by Google for 22 languages, including Amharic, Arabic, Bengali, Chinese, Greek, Gujarati, Hindi, Japanese, Kannada, Malayalam, Marathi, Nepali, Persian, Punjabi, Russian, Sanskrit, Serbian, Tamil, Telugu, Tigrinya, and Urdu. It is a virtual keyboard that allows users ...
The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files can also be translated. [10] It offers paid subscription DeepL Pro, which has been available since March 2018 and includes application programming interface access and a software plug-in for computer-assisted ...
This is a list of English-language words of Hindi and Urdu origin, two distinguished registers of the Hindustani language (Hindi-Urdu). Many of the Hindi and Urdu equivalents have originated from Sanskrit; see List of English words of Sanskrit origin. Many loanwords are of Persian origin; see List of English words of Persian origin, with some of the latter being in turn of Arabic or Turkic ...
Learn how to find AOL apps and pin sites or apps to your Windows 10 start menu.
Learn how to download and install or uninstall the Desktop Gold software and if your computer meets the system requirements.
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 architecture ...
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