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Ring Tone Text Transfer Language (RTTTL) is a text-based format that was developed by Nokia [citation needed] to be used to transfer ringtones to Nokia cellphones. The RTTTL format is a string divided into three sections: name, default value, and data. The name section consists of a string describing the name of the ringtone. It can be no ...
A ringtone maker is an application that converts a user chosen song or other audio file for use as a ringtone of a mobile phone. The ringtone file is installed in the mobile phone either by direct cable connection, Bluetooth, text messaging, or e-mail. On many websites, users may create ringtones from digital music or audio.
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 ...
In late 2004 under Irvin's direction, VeriSign bought Jamba for $270 million. Jamba at the time built mobile applications, games, ringtones and wallpapers, and was also in over 40 countries worldwide. The VeriSign team had recognised that there were twice as many mobile phones as there were computers, which also had built-in computer technology.
The Nokia tune is a phrase from a composition for solo guitar, Gran Vals, composed in 1902 by the Spanish classical guitarist and composer Francisco Tárrega. [1] It has been associated with Finnish corporation Nokia since the 1990s, becoming the first identifiable musical ringtone on a mobile phone; Nokia selected an excerpt to be used as its default ringtone.
To fuse with Ringing Tones Text Transfer Language and move to Ringing Tones Text Transfer Language. Start a discussion about improving the Ring Tone Text Transfer Language page Talk pages are where people discuss how to make content on Wikipedia the best that it can be.
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).
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]