Probabilistic Chinese Segmentation : A Dictionary Driven Approach to Chinese Word Segmentation Using Text Preprocessors

dc.contributor.advisor	Cutter, Pamela A., 1970-
dc.contributor.author	Wang-Stosur-Bassett, Preston
dc.date.accessioned	2018-06-09T14:16:03Z
dc.date.available	2018-06-09T14:16:03Z
dc.date.issued	2018
dc.identifier.uri	http://hdl.handle.net/10920/35879
dc.description	viii, 43 p.	en_US
dc.description.abstract	This 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.mimetype	application/pdf
dc.language.iso	en_US	en_US
dc.relation.ispartof	Senior Individualized Projects. Computer Science.
dc.relation.ispartof	Kalamazoo College Computer Science Senior Individualized Projects Collection
dc.rights	U.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written
dc.title	Probabilistic Chinese Segmentation : A Dictionary Driven Approach to Chinese Word Segmentation Using Text Preprocessors	en_US
dc.type	Thesis	en_US
KCollege.Access.Contact	If you are not a current Kalamazoo College student, faculty, or staff member, email dspace@kzoo.edu to request access to this thesis.

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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