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

LowResourceEval-2019: a shared task on morphological analysis for low-resource languages