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Translate is a translation app developed by Apple for their iOS and iPadOS devices. Introduced on June 22, 2020, it functions as a service for translating text sentences or speech between several languages and was officially released on September 16, 2020, along with iOS 14. All translations are processed through the neural engine of the device ...
Mobile translation may include a number of useful features, auxiliary to text translation which forms the basis of the service. While the user can input text using the device keyboard, they can also use pre-existing text in the form of email or SMS messages received on the user's device (email/SMS translation).
The iPhone 7 and iPhone 7 Plus [a] are smartphones that were developed and marketed by Apple Inc. They are the tenth generation of the iPhone.They were announced on September 7, 2016, at the Bill Graham Civic Auditorium in San Francisco by Apple CEO Tim Cook, and were released on September 16, 2016, succeeding the iPhone 6, iPhone 6 Plus, iPhone 6S and iPhone 6S Plus as the flagship devices in ...
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]
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 ...
Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]
One of the key reasons why Rosetta 2 provides such a high level of translation efficiency is the support of x86-64 memory ordering in the Apple M1 SOC. [14] The SOC also has dedicated instructions for computing x86 flags. [15] Although Rosetta 2 works for most software, some software does not work at all [16] or is reported to be "sluggish". [17]
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] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]