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SMS language displayed on a mobile phone screen. Short Message Service language, textism, or textese [a] is the abbreviated language and slang commonly used in the late 1990s and early 2000s with mobile phone text messaging, and occasionally through Internet-based communication such as email and instant messaging.
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 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 ]
SMS has become a large commercial industry, earning $114.6 billion globally in 2010. [49] In the year 2002, 366 billion SMS text messages were sent globally, [50] a number that rose to 6.1 trillion (6.1 × 10 12) in 2010, [10] which is an average of 193,000 messages per second. The global average price for an SMS message is US$0.11, while ...
Because of this, the texting language is integrated into the way that students think from an earlier age than ever before. [84] In November 2006, New Zealand Qualifications Authority approved the move that allowed students of secondary schools to use mobile phone text language in the end-of-the-year-exam papers. [85]
Keypad used by T9. T9's objective is to make it easier to enter text messages.It allows words to be formed by a single keypress for each letter, which is an improvement over the multi-tap approach used in conventional mobile phone text entry at the time, in which several letters are associated with each key, and selecting one letter often requires multiple keypresses.
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
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