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Automatic classification of multi-word expressions in print dictionaries

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SummaryThis work demonstrates the assignment of multi-word expressions in print dictionaries to POS classes with minimal linguistic resources. In this application, 32,000 entries from the W├Ârterbuch der deutschen Idiomatik (H. Schemann 1993) were classified using an inductive description of POS sequences in conjunction with a Brill Tagger trained on manually tagged idiomatic entries. This process assigned categories to 86% of entries with 88% accuracy. This classification supplies a meaningful preprocessing step for further applications: the resulting POS-sequences for all idiomatic entries might be used for the automatic recognition of multi-word lexemes in unrestricted text.
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Document Type: Research Article

Affiliations: 1: Berlin-Brandenburg Academy of Sciences 2: California Institute of Technology

Publication date: 2003-01-01

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