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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.
Featuring over translation for more than 120 languages, this is one of the most robust free-to-use translation apps. You can translate via text, spoken word or images with Microsoft Translate, and ...
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.
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]
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]
Babylon is a computer dictionary and translation program developed by the Israeli company Babylon Software Ltd. based in the city of Or Yehuda.The company was established in 1997 by the Israeli entrepreneur Amnon Ovadia.
Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.
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 ]