System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • 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
Online Machine Translator System and Result Comparison
University of Borås, School of Business and IT.
2011 (English)Independent thesis Basic level (degree of Bachelor)Student thesis
Abstract [en]

Translation from one human language to another has been using the help of the capabilities of computer advances. There are a lot of machine translators nowadays, each adapts to different machine translator approaches. This thesis presents the distinction between two selected machine translator approaches, statistical machine translator (SMT) and hybrid machine translator (HMT). The research focuses on creating evaluation for two machine translator of different approaches by both textual studies and evaluation experiment. The result of this research is an evaluation of the translator system and also the translation result. This result is then hoped to add information into the history of machine translators.

Place, publisher, year, edition, pages
University of Borås/School of Business and IT , 2011.
Series
Kandidatuppsats ; 2011KANI12
Keywords [en]
online machine translator, computer linguistic, manual evaluation, statistical machine translation, hybrid machine translation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hb:diva-20869Local ID: 2320/9273OAI: oai:DiVA.org:hb-20869DiVA, id: diva2:1312803
Note
Program: Kandidatutbildning i informatikAvailable from: 2019-04-30 Created: 2019-04-30

Open Access in DiVA

fulltext(1622 kB)336 downloads
File information
File name FULLTEXT01.pdfFile size 1622 kBChecksum SHA-512
a1edbb5647411fb997bf7bab51da445f84a8980907dc07989f70e75e787a44d1f04c2d57db6502cb74a5260bf1b05904b2ba1a4b5c06b4e1ed52c54a844ad4b2
Type fulltextMimetype application/pdf

By organisation
School of Business and IT
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 336 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 172 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • 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