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Tamil Lexicon (Tamil: தமிழ்ப் பேரகராதி Tamiḻ Pērakarāti) is a twelve-volume dictionary of the Tamil language. Published by the University of Madras , it is said to be the most comprehensive dictionary of the Tamil language to date.
S Ramakrishnan, commonly known as Cre-A Ramakrishnan [a] (18 June 1945 – 17 November 2020), was an Indian publisher and editor who founded Cre-A Publishing. [b] He is known for making major contributions to Tamil contemporary literature and vocabulary though Cre-A, including the introduction of several editing and translation practices, and for producing one of the most used modern ...
Google Dictionary is an online dictionary service of Google that can be accessed with the "define" operator and other similar phrases [note 1] in Google Search. [2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press's Oxford Languages. [3]
English, the primary medium of higher education in India, remains inaccessible to even the literate majority of the country.Therefore, there is an urgent need to translate material in all fields like literary, technical, scientific and business etc. so that such material is accessible to a wide range of different language speaking population across the country.
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]
Tamil Lexicon dictionary This page was last edited on 25 July 2017, at 17:45 (UTC). Text is available under the Creative Commons Attribution-ShareAlike 4.0 ...
A bilingual dictionary or translation dictionary is a specialized dictionary used to translate words or phrases from one language to another. Bilingual dictionaries can be unidirectional , meaning that they list the meanings of words of one language in another, or can be bidirectional , allowing translation to and from both languages.
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] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [ 2 ]