We approach the problem of expanding the set of cognate relations with a sequence-to-sequence NMT model. The language pair of interest, Skolt Sami and North Sami, has too limited a set of parallel data for an NMT model as such. We solve this problem on the one hand, by training the model with North Sami cognates with other Uralic languages and, on the other, by generating more synthetic training data with an SMT model. The cognates found using our method are made publicly available in the Online Dictionary of Uralic Languages.
Hämäläinen, Mika and Rueter, Jack
"Finding Sami Cognates with a Character-Based NMT Approach,"
Proceedings of the Workshop on Computational Methods for Endangered Languages: Vol. 1
, Article 6.
Available at: https://scholar.colorado.edu/scil-cmel/vol1/iss1/6