  This research devoted to the low-resource Veps and Karelian languages.
Algorithms for assigning part of speech tags to words and grammatical
properties to words are presented in the article. These algorithms use our
morphological dictionaries, where the lemma, part of speech and a set of
grammatical features (gramset) are known for each word form. The algorithms are
based on the analogy hypothesis that words with the same suffixes are likely to
have the same inflectional models, the same part of speech and gramset. The
accuracy of these algorithms were evaluated and compared. 313 thousand Vepsian
and 66 thousand Karelian words were used to verify the accuracy of these
algorithms. The special functions were designed to assess the quality of
results of the developed algorithms. 92.4% of Vepsian words and 86.8% of
Karelian words were assigned a correct part of speech by the developed
algorithm. 95.3% of Vepsian words and 90.7% of Karelian words were assigned a
correct gramset by our algorithm. Morphological and semantic tagging of texts,
which are closely related and inseparable in our corpus processes, are
described in the paper.

Computation and Language;Information Retrieval