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How to change language detection for Google text to speech on Samsung Ga...
How to change language detection for Google text to speech on itel S15
Our analysis is based upon Twitter data gathered in approximately 20 months between October 18, 2010 and May 17, 2012, at an average rate of 6:5|105 GPS-tagged tweets per day (see Table 1 for exact numbers). The dataset includes 3:8|108 tweets produced by 6:0|106 users located in 191 countries, 110 of which generated the amount of data necessary for a significant statistical analysis of language detection. Our language detection methods allowed us to identify 78 languages. [...] When we color each tweet according to its language and display them on a map we see immediately that most content produced within each country is written in its own dominant language. [...] Second, Twitter users may be biased towards the most common languages, in order to reach a wider audience.
The Twitter of Babel: Mapping World Languages through Microblogging Platforms
