Abstract:
A system for recognition and morphological classification of unknown German words is described. Given raw texts it outputs a list of the unknown nouns together with hypotheses about their possible stems and morphological class(es). The system exploits both global and local information as well as morphological properties and external linguistic knowledge sources. It learns and applies ending-guessing rules similar to the ones originally proposed for POS guessing. The paper presents the system design and implementation and discusses its performance by extensive evaluation. Similar ideas for ending-guessing rules have been applied to Bulgarian as well but the performance is worse due to the difficulties of noun recognition as well as to the highly inflexional morphology with numerous ambiguous endings. 1
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