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dc.contributor.advisorCutter, Pamela A., 1970-
dc.contributor.authorWang-Stosur-Bassett, Preston
dc.date.accessioned2018-06-09T14:16:03Z
dc.date.available2018-06-09T14:16:03Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10920/35879
dc.descriptionviii, 43 p.en_US
dc.description.abstractThis paper describes a Chinese word segmentation system based on dictionary driven probabilistic segmentation using trained data to calculate probability. The results of this system are compared to results from a Largest First Matching Greedy Chinese Text Segmenter using the same dictionary driven approach.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofSenior Individualized Projects. Computer Science.
dc.relation.ispartofKalamazoo College Computer Science Senior Individualized Projects Collection
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written
dc.titleProbabilistic Chinese Segmentation : A Dictionary Driven Approach to Chinese Word Segmentation Using Text Preprocessorsen_US
dc.typeThesisen_US
KCollege.Access.ContactIf you are not a current Kalamazoo College student, faculty, or staff member, email dspace@kzoo.edu to request access to this thesis.


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  • Computer Science Senior Integrated Projects [237]
    This collection includes Senior Integrated Projects (SIP's) completed in the Computer Science Department. Abstracts are generally available to the public, but PDF files are available only to current Kalamazoo College students, faculty, and staff.

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