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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]
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]
Based on these RNN-based architectures, Baidu launched the "first large-scale NMT system" [23]: 144 in 2015, followed by Google Neural Machine Translation in 2016. [ 23 ] : 144 [ 24 ] From that year on, neural models also became the prevailing choice in the main machine translation conference Workshop on Statistical Machine Translation.
Lawyers who use free translation tools such as Google Translate may accidentally violate client confidentiality by exposing private information to the providers of the translation tools. [61] In addition, there have been arguments that consent for a police search that is obtained with machine translation is invalid, with different courts ...
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The idea behind statistical machine translation comes from information theory.A document is translated according to the probability distribution (|) that a string in the target language (for example, English) is the translation of a string in the source language (for example, French).
Unedited machine translation is publicly available through tools on the Internet such as Google Translate, Almaany, [97] Babylon, DeepL Translator, and StarDict. These produce rough translations that, under favorable circumstances, approximate the meaning of the source text.