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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]
At a meeting to discuss their concern with the Goobacks, construction worker Darryl Weathers complains that they have worked hard to get their pay high enough to make a living, but now are being ousted by the time-immigrants. The other workers voice their own complaints, with each sentence finishing off with an increasingly slurred and garbled ...
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 ...
The concept of metaphrase (i.e., word-for-word translation) is an imperfect concept, because a given word in a given language often carries more than one meaning, and because a similar given meaning may often be represented in a given language by more than one word.
Word-sense disambiguation concerns finding a suitable translation when a word can have more than one meaning. The problem was first raised in the 1950s by Yehoshua Bar-Hillel. [33] He pointed out that without a "universal encyclopedia", a machine would never be able to distinguish between the two meanings of a word. [34]
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MediaWiki translation on translatewiki.net, a localisation platform for translation communities, language communities, and open source projects; This page serves as a reference for anyone, but especially for new contributors, interested in assisting in the translation of articles "from" the English Wikipedia "into" other languages.
In India, Romanised Hindi is the dominant form of expression online. In an analysis of YouTube comments, Palakodety et al., identified that 52% of comments were in Romanised Hindi, 46% in English, and 1% in Devanagari Hindi. [9] Romanised Hindi is also used by some newspapers such as The Times of India.