  The paper describes the results of the first shared task on morphological
analysis for the languages of Russia, namely, Evenki, Karelian, Selkup, and
Veps. For the languages in question, only small-sized corpora are available.
The tasks include morphological analysis, word form generation and morpheme
segmentation. Four teams participated in the shared task. Most of them use
machine-learning approaches, outperforming the existing rule-based ones. The
article describes the datasets prepared for the shared tasks and contains
analysis of the participants' solutions. Language corpora having different
formats were transformed into CONLL-U format. The universal format makes the
datasets comparable to other language corpura and facilitates using them in
other NLP tasks.
