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Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [11] The input text had to be translated into English first ...
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Google Dictionary is an online dictionary service of Google that can be accessed with the " define " operator and other similar phrases [note 1] in Google Search. [2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press 's Oxford Languages. [3] It is available in different languages, such as English, Spanish ...
In July 2008, Google announced that they had been working with Hindi Wikipedians to translate English language articles into Hindi and had since 2008 translated 600,000 words in Hindi using a combination of Google Translate and manual checking. [13]
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.
This page is a guide for anyone, but particularly new volunteers, willing to help translate articles from the English Wikipedia into other languages.
The Microsoft Translator is a cloud-based automatic translation service that can be used to build applications, websites, and tools requiring multi-language support. Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service.
Languages features comparison. 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.