This project allows students from all over the world to build machine translation (MT) engines using domain specific data from TAUS, supervised by the TAUS Labs team and an expert Advisory Committee. In the process, students gain a greater understanding of commercial requirements while industry also benefits from the experimentation undertaken by some of the brightest young computational linguists globally.
The results of previous terms are publicly available on the TAUS site, helping to share learnings and inspire others: https://labs.taus.net/mt/developingtalent#research-results
Currently, twenty-three universities in Asia, Europe and the Americas are taking part in the TAUS Developing Talent Project. Post-graduate students from these universities will take part in the process of data preparation, engines training/optimization/testing and translation quality evaluation. The TAUS Dynamic Quality Framework, the industry benchmark, will be used for quality evaluation and comparison of the MT engines.
The new term begins in a few days, please express your interest before September 1 sending a request to maxim (at) taus.net
More information can be found at: https://labs.taus.net/mt/developingtalent
*Maxim Khalilov, R&D*
*Mob.: +31 6 15602017*
*Skype: Maxim Khalilov (desperbcn)*
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