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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. Google's Translatotron can translate speech in the speaker's ...

   www.aol.com/news/2019-05-15-google-translatotron...

   Google is showing off Translatotron, a first-of-its-kind translation model that can directly convert speech from one language into another while maintaining a speaker's voice and cadence.

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. Speech translation - Wikipedia

   en.wikipedia.org/wiki/Speech_translation

   The generated translation utterance is sent to the speech synthesis module, which estimates the pronunciation and intonation matching the string of words based on a corpus of speech data in language B. Waveforms matching the text are selected from this database and the speech synthesis connects and outputs them.

6. Mobile translation - Wikipedia

   en.wikipedia.org/wiki/Mobile_translation

   Mobile translation may include a number of useful features, auxiliary to text translation which forms the basis of the service. While the user can input text using the device keyboard, they can also use pre-existing text in the form of email or SMS messages received on the user's device (email/SMS translation).

7. Hinglish - Wikipedia

   en.wikipedia.org/wiki/Hinglish

   With its widespread use in social media such as blogs, Facebook and X (formerly Twitter), the analysis of Hinglish using computers has become important in a number of natural language processing applications like machine translation (MT) and speech-to-speech translation. [31] [32]