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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 Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
The service also contains pronunciation audio, Google Translate, a word origin chart, Ngram Viewer, and word games, among other features for the English-language version. [4] [5] Originally available as a standalone service, it was integrated into Google Search, with the separate service discontinued in August 2011.
Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.
This is the pronunciation key for IPA transcriptions of Arabic on Wikipedia. It provides a set of symbols to represent the pronunciation of Arabic in Wikipedia articles, and example words that illustrate the sounds that correspond to them.
Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.
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.
Phonemic notation commonly uses IPA symbols that are rather close to the default pronunciation of a phoneme, but for legibility often uses simple and 'familiar' letters rather than precise notation, for example /r/ and /o/ for the English [ɹʷ] and [əʊ̯] sounds, or /c, ɟ/ for [t͜ʃ, d͜ʒ] as mentioned above.