Twitter starts to translate with Google Translate instead of Microsoft Translator

More than five years ago, Twitter began testing automatic translation of tweets with Microsoft Translator, the Bing translator. After several comings and goings, the service settled translating tweets of many languages ​​to the user's native. The function, without being of the stars of the social network, is quite used, because in many cases, thanks to retweets or breaking news, unintelligible text may arrive in, for example, Chinese.



The translation of Bing has never been as good as Google's, and it seems that on Twitter they are aware of this, because they are doing tests with the Google Translate in the iOS version according to the social network Alex Barredo. Even so, they look like A / B tests, because it does not appear to all users and from any language. In the iPad version that I have tried, for example, it continues to translate Bing.

    It looks like Twitter is using Google translation services instead of Microsoft's? pic.twitter.com/Bxo1tUWJ2i
    - Alex B 📉 (@somospostpc) December 13, 2018


Translations of Google Translate on Twitter for iOS seem very good, and of course, more natural than those made by Microsoft, which in many cases seem removed from years ago. Even so, perhaps it would have been a better choice DeepL, which as we have seen, can far surpass the Mountain View proposal, already good enough.
Twitter

Although translations on social networks are not new, as we have seen, having added Facebook for example in 2011, the reality is that conversations between people who do not speak the same or several languages ​​are still rare and practically non-existent, and it is a situation that could improve with better translations that made the conversation totally fluid.

It seems that this is where the translation comes with automatic learning. The simultaneous translation of Skype already shows that future, and even live it is already common to see people translate conversations with applications on the mobile. However, the model does not quite succeed where it is assumed that people are already fully adequate to see different languages. We will see if these developments improve in that sense.

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