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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]
Weblate is an open source web-based translation tool with version control. It includes several hundred languages with basic definitions, and enables the addition of more language definitions, all definitions can be edited by the web community or a defined set of people, as well as through integrating machine translation, such as DeepL, Amazon Translate, or Google Translate.
1:1 Conversation Mode: An interactive translation, translated through speech recognition. Image Translation: The portion of a photo in a gallery or the characters in a newly photographed picture is specified and translated into text. It is available in six languages: Korean, English, Japanese, Chinese, Vietnamese, and Thai. [5]
Anusaaraka is an English to Hindi language accessing (translation) software, which employs algorithms derived from Pāṇini's Ashtadhyayi (Grammar rules). [1] [2] The software is being developed by the Chinmaya International Foundation (CIF) [3] at the International Institute of Information Technology, Hyderabad (IIIT-H) and the University of Hyderabad Department of Sanskrit Studies. [4]
The following is a natural Modern English translation, with the overall structure of the Old English passage preserved. Even though "earl" is used to translate its Old English cognate "eorl", "eorl" in Old English does not correspond exactly to "earl" of the later medieval period:
Many Hindi speakers with Internet use English Wikipedia instead. Given the great geographic spread of the Hindi language, the contributors to the Hindi project live in various areas around the country. There are also prolific users whose native language is not Hindi, as Hindi is a government language in India alongside English.
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]
With its origin in the Georgetown machine translation effort, SYSTRAN was one of the few machine translation systems to survive the major decrease of funding after the ALPAC Report of the mid-1960s. The company was established in La Jolla in California to work on translation of Russian to English text for the United States Air Force during the ...