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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorOdijk, Jan
dc.contributor.authorGraaf, E.W. de
dc.date.accessioned2013-09-05T17:02:13Z
dc.date.available2013-09-05
dc.date.available2013-09-05T17:02:13Z
dc.date.issued2013
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/14554
dc.description.abstractIn this bachelor's thesis I research the possibility of finding multi-word expressions (MWEs) in a large Dutch corpus called LASSY using the statistical distance methods called Point Mutual Information and Salience. I compare the achieved results with results from an already existing toolkit called the MWEtoolkit. The conclusion is that MWEs can not be detected with the chosen methods in the chosen way, but that the method might be useful when combined with other detection methods.
dc.description.sponsorshipUtrecht University
dc.format.extent159010 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleAutomatic Recognition of Multi-Word Expressions in Dutch
dc.type.contentBachelor Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsmulti-word expression, pointwise mutual information, salience, lassy
dc.subject.courseuuKunstmatige Intelligentie


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