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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.
Although Google has deployed a new system called neural machine translation for better quality translation, there are languages that still use the traditional translation method called statistical machine translation. It is a rule-based translation method that uses predictive algorithms to guess ways to translate texts in foreign languages.
For literary domains, a mere transliteration between Hindi-Urdu will not suffice as formal Hindi is more inclined towards Sanskrit vocabulary whereas formal Urdu is more inclined towards Persian and Arabic vocabulary; hence a system combining transliteration and translation would be necessary for such cases. [9]
[3] In 1982, a translation of 700 couplets of the Kural text was published under the title "Satsai." [ 3 ] There was yet another Hindi translation in 1989. [ 3 ] In 1990, T. E. S. Raghavan rendered a poetic rendition in couplet form in 'Venba' metre as in the source, following four words in the first line and three in the second. [ 5 ]
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2]
The meaning conveyed is the doer went somewhere to do something and came back after completing the action. This can also mean "to know how to" in the indefinite/habitual present tense – to know how to do: karnā ānā 1. karnā: 1. kar ānā "to finish (and come back)", "to do (and return)"; cuknā "to have (already) completed something"
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. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.
A DMT system is designed for a specific source and target language pair and the translation unit of which is usually a word. Translation is then performed on representations of the source sentence structure and meaning respectively through syntactic and semantic transfer approaches. A transfer-based machine translation system involves three ...