Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/2353
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, Hui | en_US |
dc.date.accessioned | 2008-09-17T09:00:46Z | |
dc.date.available | 2008-09-17T09:00:46Z | |
dc.date.copyright | 2000 | en_US |
dc.date.issued | 2000 | |
dc.identifier.uri | http://hdl.handle.net/10356/2353 | |
dc.description.abstract | Chinese word segmentation is a prerequisite process in Chinese information retrieval (IR) to divide the originally continuous sentences in the documents into linguistic units (normally words) that can then be indexed for the purpose of retrieval. Despite a host of word segmentation approaches and Chinese information systems that exist today, little work has been done to co-relate segmentation performance and IR effectiveness. Consequently, it is uncertain how word segmentation affects IR effectiveness. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval | |
dc.title | Chinese text segmentation for information retrieval | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Foo, Schubert Shou Boon | en_US |
dc.contributor.school | School of Computer Engineering | en_US |
dc.description.degree | Master of Applied Science | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | SCSE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
LiHui00.pdf Restricted Access | Main report | 23.72 MB | Adobe PDF | View/Open |
Page view(s) 20
649
Updated on Mar 28, 2024
Download(s)
3
Updated on Mar 28, 2024
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.