WMBT (Wrocław Memory-Based Tagger) is a simple morpho-syntactic tagger for Polish producing state-of-the-art results. WMBT uses TiMBL API as the underlying Memory-Based Learning implementation. The features for classification are generated by using WCCL.
WMBT uses a tiered tagging approach. Grammatical class is disambiguated first, then subsequent attributes (as defined in a config file) are taken care of. Each attribute may be supplied a different set of features.
The software package comes with default configurations for KIPI/IPIC and NKJP tagsets (kipi-guess.ini and nkjp-guess.ini).