Learn how the TAUS corona crisis datasets helped three distinct organizations overcome the challenge of finding sufficient, domain-specific data in a time of global crisis.
In an effort to help battle the corona crisis from a language and information access perspective, TAUS coordinated an industry collaboration effort to gather translation memories covering this domain.
The result was six datasets containing a total of 3,403,681 segments in the following language pairs: English-French, English-German, English-Spanish, English-Italian, English-Russian, and English-Chinese.
To address the information availability in the time of crisis with the help of sufficient, in-domain language data here we present 3 use cases by Google, Naver Labs and University of Catalonia. Each with their unique studies based on the TAUS Corona Datasets share their detailed results.
Şölen is the Head of Digital Marketing at TAUS where she leads digital growth strategies with a focus on generating compelling results via search engine optimization, effective inbound content and social media with over six years of experience in related fields. She holds BAs in Translation Studies and Brand Communication from Istanbul University in addition to an MA in European Studies: Identity and Integration from the University of Amsterdam. After gaining experience as a transcreator for marketing content, she worked in business development for a mobile app and content marketing before joining TAUS in 2017. She believes in keeping up with the modern digital trends and the power of engaging content. She also writes regularly for the TAUS Blog/Reports and manages several social media accounts she created on topics of personal interest with over 100K followers.