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Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [12]
from Hindi and Urdu: An acknowledged leader in a field, from the Mughal rulers of India like Akbar and Shah Jahan, the builder of the Taj Mahal. Maharaja from Hindi and Sanskrit: A great king. Mantra from Hindi and Sanskrit: a word or phrase used in meditation. Masala from Urdu, to refer to flavoured spices of Indian origin.
It is also spoken to some extent as an easier-to-learn variant of Hindi by South Indians and members of the South Asian diaspora who are more comfortable with English. [34] [35] [36] Research into the linguistic dynamics of India shows that while the use of English is on the rise, there are more people fluent in Hinglish than in pure English. [37]
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.
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .
Gunny, an inexpensive bag; from Sanskrit via Hindi and Marathi, [20] probably ultimately from a Dravidian language. [21] Hot toddy, beverage made of alcoholic liquor with hot water, sugar, and spices; from Hindi tari "palm sap", probably from a Dravidian language [22] Idli, a south Indian steamed cake of rice, usually served with sambhar. From ...
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]