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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 ]
Bhashini is an Indian government project developed by Ministry of Electronics and Information Technology under its "National Language Translation Mission." It aims to help Indian citizens translate content in various Indian languages and enable effective communication among different-language speakers across India, and thus reduce the language barrier in India.
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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 7/12 extract is an extract from the land register maintained by the revenue department of the governments of Maharashtra and Gujarat, states in India. [when?] The extract gives information of the survey number of the land, the name of the owner of the land and its cultivator, the area of the land, the type of cultivation - whether irrigated or rain fed, the crops planted in the last ...
Communication between states which have Hindi as an official language must be in Hindi, whereas communication between a state where Hindi is an official language and one where it is not Hindi and must be in English, or, in Hindi with an accompanying English translation (unless the receiving state agrees to dispense with the translation). [12]
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.
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]