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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 ]
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.
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 ...
Google Translator Toolkit by default used Google Translate to automatically pre-translate uploaded documents which translators could then improve. Google Inc released Google Translator Toolkit on June 8, 2009. [2] This product was expected to be named Google Translation Center, as had been announced in August 2008.
The Hindi Wikipedia was launched on 11 July 2003. 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]
English is the most widely used language on the internet, and this is a further impetus to the use of Hinglish online by native Hindi speakers, especially among the youth. Google's Gboard mobile keyboard app gives an option of Hinglish as a typing language where one can type a Hindi sentence in the Roman script and suggestions will be Hindi ...
Hinglish refers to the non-standardised Romanised Hindi used online, and especially on social media. In India, Romanised Hindi is the dominant form of expression online. In an analysis of YouTube comments, Palakodety et al., identified that 52% of comments were in Romanised Hindi, 46% in English, and 1% in Devanagari Hindi. [21]
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.