Automatic classification of multi-word expressions in print dictionaries

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Abstract:

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.

Document Type: Research Article

DOI: http://dx.doi.org/10.1075/li.26.2.03gey

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

Publication date: January 1, 2003

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