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A simple smiley. This is a list of emoticons or textual portrayals of a writer's moods or facial expressions in the form of icons.Originally, these icons consisted of ASCII art, and later, Shift JIS art and Unicode art.
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 ]
Emojipedia is an emoji reference website [1] which documents the meaning and common usage of emoji characters [2] in the Unicode Standard.Most commonly described as an emoji encyclopedia [3] or emoji dictionary, [4] Emojipedia also publishes articles and provides tools for tracking new emoji characters, design changes [5] and usage trends.
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 ...
Emoji can be used to set emotional tone in messages. Emoji tend not to have their own meaning but act as a paralanguage, adding meaning to text. Emoji can add clarity and credibility to text. [119] Sociolinguistically, the use of emoji differs depending on speaker and setting. Women use emojis more than men. Men use a wider variety of emoji.
photo text translation feature (uses its own OCR (optical character recognition) technology) – in apps for mobile phones; [12] the "Suggest translation" button (user patches to help improve the quality of machine translations); the "Favorites" section, where you can add translations of individual words and sentences; virtual keyboard.
The block has 166 standardized variants defined to specify emoji-style (U+FE0F VS16) or text presentation (U+FE0E VS15) for the following 83 base characters: U+2600–U+2604, U+260E, U+2611, U+2614–U+2615, U+2618, U+261D, U+2620, U+2622–U+2623, U+2626, U+262A, U+262E–U+262F, U+2638–U+263A, U+2640, U+2642, U+2648–U+2653, U+265F–U+ ...
GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2] With the large end-to-end framework, the system learns over time to create better, more natural translations. [1] GNMT attempts to translate whole sentences at a time, rather than just piece by piece. [1]
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