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Azhagi is the first successful Tamil transliteration tool [6] which has many users throughout the world. Azhagi helps the user to create and edit contents in several Indian languages including Tamil, Hindi, Sanskrit, Telugu, Kannada, Malayalam, Marathi, Konkani, Gujarati, Bengali, Punjabi, Oriya and Assamese without having to know how to type in these languages.
In 2016, the New World Translation of the Holy Scriptures was released by Jehovah's Witnesses as a complete Bible translation in Tamil. [4] This replaced the earlier partial translation comprising only the New Testament. [5] It was published online with mobile versions released through JW Library application in App stores. [6]
If a homonym is detected in a sentence to be translated, the translator presents various interpretations for a homograph found in an input sentence. Users can choose a specific meaning and receive the retranslated sentence associated with their selected sense. Each sense is represented as a clear image on the translation result screen. [5]
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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.
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 ]
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.
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 .