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Google Translate is a web-based free-to-user translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation service. [11] The input text had to be translated into English first before ...
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. A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
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. This coordinated translation contributed to growth ...
Available through Google Play, the Hindi Input app enables users to communicate in two ways. In transliteration mode, users can type any Hindi word in English, and the app will automatically ...
Machine translation (MT) is a process whereby a computer program analyzes a source text and, in principle, produces a target text without human intervention. In reality, however, machine translation typically does involve human intervention, in the form of pre-editing and post-editing. [97]
Examples are क़िला qila "fort" from Persian, कमेटी kameṭī from English committee. Hindi also makes extensive use of loan translation and occasionally phono-semantic matching of English. Prakrit. Hindi has naturally inherited a large portion of its vocabulary from Shauraseni Prakrit, in the form of tadbhava words.
The accuracy of Google Translate continues to improve, and in many cases approaches the accuracy of human translation. Use of non-English sources can help counter systemic bias on Wikipedia, which skews to Anglocentric and Eurocentric perspectives.
Languages features comparison. 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.