@article {12397,
	title = {Automatic classification of multi-word expressions in print dictionaries},
	journal = {Lingvisticae Investigationes},
	volume = {26},
	year = {2003},
	month = {2003/01/01/},
	pages = {187 - 202},
	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{\"o}rterbuch 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.},
	isbn = {03784169},
	doi = {10.1075/li.26.2.03gey},
	url = {http://umd.library.ingentaconnect.com/content/jbp/li/2003/00000026/00000002/art00002},
	author = {Geyken,Alexander and Jordan Boyd-Graber}
}
