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eBooks @ Lund University Libraries

Ordbogen.com provides access to three Danish-English/English-Danish dictionaries. Although several dictionaries on Ordbogen.com are available for offline use, the three titles that LU subscribes to only have online access. However, the desktop application is also convenient for online use and works with both PC and Mac. For more information please click on Download at the top of the start page.

  • Gyldendal Dansk/Engelsk/Dansk Fagordbog (Subject dictionary) 
  • Gyldendal Dansk/Engelsk Ordbog (Den Røde)  
  • Gyldendal Dansk/Engelsk/Dansk ordbog (Den Store)  

Please note that our subscription only allows for five (5) concurrent users.

Full or partial reproduction, transfer, distribution or any form of storage and display of the content of Ordbogen.com to anyone other than authorized users at Lund University, may not take place without the prior written permission of Ordbogen.com (Gyldendal).


Name Ordbogen.com
Publisher/Provider Gyldendal
Subjects included  
Type of resource Platform with ebooks in fulltext.
Fulltext format  
Accessibility Via IP address
Login authentication required No, not on LU-campus. If you are off-campus you will be prompted to login via LU's Central Authentication Service (CAS) with a Student Account or LUCAT-ID.
Number of concurrent users Five (5) concurrent user access (five people reading at the same time).
Download required No
Must be borrowed No
Number of days for download - -
Download and read offline No. The app is only available for desktop use for these 3 titles.
Download to a portable device No
Text to speech No
Export references No
Export formats  - -
How do I suggest a purchase Students and staff: Please contact your faculty library.
Librarians: Se Förvärv av elektroniska resurser för mer info.
Restrictions Walk-in users: Users not affiliated with Lund University may be permitted access to Ordbogen.com, but only within the physical premises of Lund University Libraries.
Interlibrary loan / Fjärrlån No
Text and Data Mining Policy No form of text and data mining is allowed