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A 2018 paper by the University of Bologna evaluated the Italian-to-German translation capabilities and found the preliminary results to be similar in quality to Google Translate. [ 42 ] In September 2021, Slator remarked that the language industry response was more measured than the press and noted that DeepL is still highly regarded by users.
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [ 10 ] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [ 2 ]
In December 2009, Google released beta versions of Chrome for macOS and Linux. [43] [44] Google Chrome 5.0, announced on May 25, 2010, was the first stable release to support all three platforms. [45] Chrome was one of the twelve browsers offered on BrowserChoice.eu to European Economic Area users of Microsoft Windows in 2010. [46]
Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...
Google AI is a division of Google dedicated to artificial intelligence. [1] It was announced at Google I/O 2017 by CEO Sundar Pichai. [2]This division has expanded its reach with research facilities in various parts of the world such as Zurich, Paris, Israel, and Beijing. [3]
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WaveNet is a deep neural network for generating raw audio. It was created by researchers at London-based AI firm DeepMind.The technique, outlined in a paper in September 2016, [1] is able to generate relatively realistic-sounding human-like voices by directly modelling waveforms using a neural network method trained with recordings of real speech.
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