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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]
It was launched as DeepL Translator on 28 August 2017 and offered translations between English, German, French, Spanish, Italian, Polish and Dutch. [ 18 ] [ 19 ] [ 20 ] [ 7 ] At its launch, it claimed to have surpassed its competitors in blind tests and BLEU scores, including Google Translate , Amazon Translate, Microsoft Translator and ...
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]
Identifies Latin words entered. Translates English words entered. "Alpheios". Alpheios Project. Combines Whittakers Words, Lewis and Short, Bennett's grammar and inflection tables in a browser addon. Dymock, John (1830). A new abridgment of Ainsworth's Dictionary, English and Latin, for the use of Grammar Schools (4th ed.). Glasgow: Hutchison ...
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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Yahoo! Babel Fish was a free Web-based machine translation service by Yahoo!. In May 2012 it was replaced by Bing Translator (now Microsoft Translator), to which queries were redirected. [1] Although Yahoo! has transitioned its Babel Fish translation services to Bing Translator, it did not sell its translation application to Microsoft outright.
The accuracy of Google Translate continues to improve, and in many cases approaches the accuracy of human translation; Use of non-English sources can help counter systemic bias on Wikipedia, which skews to Anglocentric and Eurocentric perspectives; Cons. Accuracy may not be sufficient for all uses, and human translation is still more accurate
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