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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.
The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.
Free software portal; Project Anuvaad is an open-source Document Translation platform to translate documents in Indic languages at scale. Anuvaad provides editing capabilities with maker-checker flow along with plug & play NMT models.
If the English article already exists (but a translation would be useful because the article in the other language is of higher quality, or includes additional information): simply place a translation template from the category Category:Expand by language Wikipedia templates on the English article page.
The Wikipedia:Content translation tool can be used to assist with translation of English Wikipedia articles (and other pages) into other-language Wikipedias, that have no corresponding article for the same topic.
It is sent free to schools, colleges and individuals interested in science and technology communication. Bilingual science magazine published in Hindi and English; Vigyan Prasar has published Dream 2047 for last 18 years; The magazine is primarily used as resource materials for science communicators and teachers.
Deepak Sharma (born 30 November 1946) is an Indian writer, best known for her short stories in Hindi and English. Between 1993 and 2021, she has published twenty one short stories. In 2021, she was awarded the Sahitya Bhushan Samman by the Uttar Pradesh Hindi Sansthan. [1] [2] [3]
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.