no code implementations • LREC 2020 • Sven Laur, Siim Orasmaa, Dage S{\"a}rg, Paul Tammo
The goal of the EstNLTK Python library is to provide a unified programming interface for natural language processing in Estonian.
1 code implementation • WS 2017 • Avo Muromägi, Kairit Sirts, Sven Laur
The results show that while using the ordinary least squares regression performs poorly in our experiments, using orthogonal Procrustes to combine several word embedding models into an ensemble model leads to 7-10% relative improvements over the mean result of the initial models in synonym tests and 19-47% in analogy tests.
1 code implementation • LREC 2016 • Siim Orasmaa, Timo Petmanson, Alex Tkachenko, er, Sven Laur, Heiki-Jaan Kaalep
Although there are many tools for natural language processing tasks in Estonian, these tools are very loosely interoperable, and it is not easy to build practical applications on top of them.