If analyzers exist in such settings, they tend to be highly ambiguous, and annotated data for learning to disambiguate are also likely to be scarce or non-existent.
in our experiments with Russian, we compare two analyzers: a rapidly-developed guesser, which models regular inflectional paradigms but contains no lexicon or irregular forms, and a high-quality analyzer.