Quality Estimation is the latest innovation in the global language industry that can help businesses save up to 70% in time and costs. This practical guide shares concrete insights on how to use quality estimation scores, what influences QE scores, how to read the scores, and overall: how to reduce human effort and maintain quality at scale.
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DATA
LD4AI: Introducing a new sub-sector
This report gives stakeholders in the language and AI industries insights into how language data is becoming a business on its own. The report touches upon: the birth of a new sector, data and language, translation economics, data-first paradigm shift, language data landscape, profiling the new cultural professional, trends and takeaways, and the TAUS Data Marketplace.
Data
Who Owns My Language Data? White Paper
Translation inherently triggers questions about intellectual property rights and data protection laws. As the translation ecosystem is complex, it is not easy to draw simple conclusions on who is responsible for what and which use cases are legitimate or not. Expert advice is required. Therefore, TAUS in collaboration with Baker McKenzie Law Firm produced this white paper as a blue print for the translation industry
Data
Translation Data Landscape Report
This report describes the current state of affairs in the way translation data is used and identifies the opportunities and challenges for the next five years or so in terms of a data “marketplace”. It touches upon the myriad of new practical questions about the link between translation data and translation (and related) practices.
Data
Data Market White Paper
This white paper gives an overview of the issues, the players, and benefits associated with the sharing of translation data. And it offers a solution to capitalizing on translation data, offering benefits for all stakeholders and creating a level playing field.
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