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We present in this paper our three system submissions for the POS tagging subtask of the Empirist Shared Task: Our baseline systemUdS-retrain extends a standard training dataset with in-domain training data; UdSdistributional and UdS-surface add two different ways of handling OOV words on top of the baseline system by using either distributional information or a combination of surface similarity and language model information. We reach the best performance using the distributional model.

UdS-(retrain|distributional|surface): Improving POS Tagging for OOV Words in German CMC and Web Data