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2. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   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 ]

3. Comparison of machine translation applications - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_machine...

   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.

4. Google Neural Machine Translation - Wikipedia

   en.wikipedia.org/wiki/Google_Neural_Machine...

   Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

5. Azhagi (software) - Wikipedia

   en.wikipedia.org/wiki/Azhagi_(Software)

   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.

6. Baraha - Wikipedia

   en.wikipedia.org/wiki/Baraha

   Baraha can be effectively used for creating documents, sending emails and publishing web pages. Baraha uses a transliteration scheme, which allows the user to write any Indian language in Latin text and later convert it to the respective language. Baraha package consists of Baraha, BarahaPad, BarahaIME and FontConvert programs.

7. Indic computing - Wikipedia

   en.wikipedia.org/wiki/Indic_computing

   Currently, Tamil at 42% has the highest Internet adoption levels, followed by Hindi at 39% and Kannada at 37%. [27] Intex also reported that 87% of its regional language usage came from Hindi, Bengali, Tamil, Gujarati and Marathi speakers. [2] Lava mobiles reported that Tamil and Malayalam are the most popular on their phones, more than even ...