Analyzing pandemic conversations through multilingual and multimedia data

Analyzing pandemic conversations through multilingual and multimedia data

The current world population of 7.8 billion people communicate daily in a variety of languages. More than 4.5 billion of us used the internet in the first quarter of 2020, representing 58.6% of the world’s population. All of these users are constantly reading, creating and sharing information.

It’s no longer just traditional media, such as TV, radio and printed newspapers that generate new information – anyone on the internet can create user-generated content (UGC), mountains of social posts, webpages, blogs, videos and podcasts daily in many languages. There is so much multilingual content out there that the amount of data produced is presenting a challenge to researchers, academics, businesses and governments.

Source of both pictures: SAIL LABS Media Mining System. Demonstration of Automatic Speech Recognition capability: recognition and translation of spoken language into text; keyword and full translation tools, which allow the user to obtain insights from texts and videos accessed through the search results, corresponding to relevant queries of interest.

This is why SAIL LABS has joined forces with SDL, the provider of SDL Neural Machine Translation, empowering SAIL´s solution to analyze global content across multiple languages for security, finance, health and even pandemic-related purposes, such as COVID-19). You can read the full article here or by clicking on the button below.
 

Moreover, we prepared a webinar in cooperation with our partner, SDL. The webinar will take place online and you can save your spot through the SDL’s webpage.