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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 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 ...

4. Speech Recognition & Synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

   Text-to-Speech may be used by apps such as Google Play Books for reading books aloud, Google Translate for reading aloud translations for the pronunciation of words, Google TalkBack, and other spoken feedback accessibility-based applications, as well as by third-party apps. Users must install voice data for each language.

5. Transcription software - Wikipedia

   en.wikipedia.org/wiki/Transcription_software

   Research at Google released a free android app Google Live Transcribe, it runs on Google Cloud. [3] [4] Google Chrome developed and has an available built in English Live Caption. [5] Google Docs, Google Translate, Google Assistant, GBoard Google Text to Speech engine support transcription tool too. [6] [7] [8] [9]

6. 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.

7. Google Brain - Wikipedia

   en.wikipedia.org/wiki/Google_Brain

   In order for the system to learn this, they exposed it to many hours of Spanish audio together with the corresponding English text. The different layers of neural networks, replicating the human brain, were able to link the corresponding parts and subsequently manipulate the audio waveform until it was transformed to English text. [24]