2015: Quality Estimation Shared Task. We participated with two systems and SMART were classed first and second from 9 (https://www.quest.dcs.shef.ac.uk/wmt15_files/results/task1.pdf
2017: Best paper Award.
Fadi Al-Ghawanmeh, Kamel Smaïli. Statistical Machine Translation from Arab Vocal Improvisation to Instrumental Melodic Accompaniment, ICNLSSP 2017 – International Conference on Natural Language, Signal and Speech Processing, ISGA, Dec 2017, Casablanca, Morocco
2018: Best paper Award.
Kamel Smaïli, Dominique Fohr, Carlos González-Gallardo, Michal Grega, Lucjan Janowski, Denis Jouvet, Artur Komorowski, Arian Kozbial, David Langlois, Mikolaj Leszczuk, Odile Mella, Mohamed Amine Menacer, Amaia Mendez, Elvys Linhares Pontes, Eric Sanjuan, Damian Swist, Juan-Manuel Torres-Moreno, Begona Garcia-Zapirain. A First Summarization System of a Video in a Target Language, MISSI 2018 – 11th edition of the International Conference on Multimedia and Network Information Systems, Sep 2018, Wrocław, Poland. pp.1-12
2019: Ranked 1 from 19 in MADAR Shared Task
MADAR Shared Task This shared task is the first campaign to target a large set of 26 Arabic dialect labels at the city and country levels. The data for the shared task is created under the Multi-Arabic Dialect Applications and Resources (MADAR) project. The SMART (Loria University of Lorraine) research Group participated to the campaign and has been ranked 1 from 19.