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An Approach to Language Modelling for Intelligent Document Retrieval System
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Computer science)
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , 32 p.
Keyword [en]
Information Retrieval
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-14096OAI: oai:DiVA.org:bth-14096DiVA: diva2:1088712
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVAXA Master of Science Programme in Computer Science
Supervisors
Available from: 2017-04-18 Created: 2017-04-13 Last updated: 2017-04-18Bibliographically approved

Open Access in DiVA

fulltext(445 kB)43 downloads
File information
File name FULLTEXT02.pdfFile size 445 kBChecksum SHA-512
87e5cef0d07e5a30c56cef942c26cb2a3f36141c35744ab4e5b37c120ea53420230b0897b991c0adbfa512da6abc01e7cb0c4cb5937f5c723f195c0c2a2d1b6a
Type fulltextMimetype application/pdf

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Department of Computer Science and Engineering
Computer Systems

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Total: 43 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf