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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]
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 ]
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. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.
Wikipedia is a multilingual project; as such, we may have articles on one subject available in many languages.The various languages each appear in semi-separate wikis, linked by interlanguage links.
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 ...
An example of handwritten Bengali. Part of a poem written in Bengali (and with its English translation below each Bengali paragraph) by Nobel Laureate Rabindranath Tagore in 1926 in Hungary The Library of Whitechapel in East London with the word "বাংলা" illuminated in its front.
The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.
In version 1, she created the monolingual data, having 1,034,715 Meitei language sentences and 846,796 English language sentences. In version 2, she created the monolingual data, having 1,880,035 Meitei language sentences and 1,450,053 English language sentences. [108] [109] EM-ALBERT is the first ALBERT model available for Meitei language.