Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
course:material [2026/09/28 15:16] – [Scaling R to large data sets] schtepfcourse:material [2026/09/28 23:30] (current) – [Software for the course] schtepf
Line 1: Line 1:
 ====== Courses and Tutorials on DSM  ====== ====== Courses and Tutorials on DSM  ======
  
 +[[course:slides|Course materials]] –
 [[course:esslli2009:start|ESSLLI 2009]] – [[course:esslli2009:start|ESSLLI 2009]] –
 [[course:acl2010:start|NAACL-HLT 2010]] – [[course:acl2010:start|NAACL-HLT 2010]] –
 [[course:esslli2018:start|ESSLLI '16 & '18]] – [[course:esslli2018:start|ESSLLI '16 & '18]] –
 [[course:esslli2021:start|ESSLLI '21 & '22]] – [[course:esslli2021:start|ESSLLI '21 & '22]] –
 +[[course:fribourg2026:start|U Fribourg 2026/27]] –
 **Software & data sets** – **Software & data sets** –
 [[course:bibliography|Bibliography]] [[course:bibliography|Bibliography]]
Line 20: Line 22:
     * optional: ''tm'', ''quanteda'', ''data.table'', ''wordcloud'', ''shiny'', ''spacyr'', ''udpipe'', ''coreNLP'' (don't worry if some of these fail to install)     * optional: ''tm'', ''quanteda'', ''data.table'', ''wordcloud'', ''shiny'', ''spacyr'', ''udpipe'', ''coreNLP'' (don't worry if some of these fail to install)
   - During the course, you will be asked to install a further package with additional evaluation tasks (''wordspaceEval'') from a password-protected Web page:   - During the course, you will be asked to install a further package with additional evaluation tasks (''wordspaceEval'') from a password-protected Web page:
-    * {{:icon_warn.png?nolink&20|}} **coming up** ''wordspaceEval'' v0.3: [[http://www.collocations.de/data/protected/wordspaceEval_0.3.tar.gz|Source/Linux]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.3.tgz|MacOS]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.3.zip|Windows]] (login required)+    * ''wordspaceEval'' v0.3: [[http://www.collocations.de/data/protected/wordspaceEval_0.3.tar.gz|Source/Linux]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.3.tgz|MacOS]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.3.zip|Windows]] (login required)
       * on an older version of R, you may need to fall back to package version 0.2: [[http://www.collocations.de/data/protected/wordspaceEval_0.2.tar.gz|Source/Linux]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.2.tgz|MacOS]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.2.zip|Windows]] (login required)       * on an older version of R, you may need to fall back to package version 0.2: [[http://www.collocations.de/data/protected/wordspaceEval_0.2.tar.gz|Source/Linux]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.2.tgz|MacOS]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.2.zip|Windows]] (login required)
-      * if you are stuck with R v3.x, please use the older package version 0.1: [[http://www.collocations.de/data/protected/wordspaceEval_0.1.tar.gz|Source/Linux]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.1.tgz|MacOS]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.1.zip|Windows]] (login required)+      * if you are stuck with R v3.x, please use package version 0.1: [[http://www.collocations.de/data/protected/wordspaceEval_0.1.tar.gz|Source/Linux]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.1.tgz|MacOS]] – [[http://www.collocations.de/data/protected/wordspaceEval_0.1.zip|Windows]] (login required)
     * download a suitable version and select “Install from: Package Archive File” in RStudio     * download a suitable version and select “Install from: Package Archive File” in RStudio
   - Download the sample data files listed below   - Download the sample data files listed below
Line 37: Line 39:
 cd /Library/Frameworks/R.framework/Libraries cd /Library/Frameworks/R.framework/Libraries
 ln -sf libRblas.vecLib.dylib libRblas.dylib ln -sf libRblas.vecLib.dylib libRblas.dylib
-</code> You may also want to [[https://mac.r-project.org/openmp/|enable OpenMP]] for an additional speed boost on expensive distance metrics (but this is less important and will require you to compile the package from source code).+</code>
   - In Windows, you can try installing [[https://github.com/david-cortes/R-openblas-in-windows|following these instructions]].   - In Windows, you can try installing [[https://github.com/david-cortes/R-openblas-in-windows|following these instructions]].
  
 +In MacOS, you may also want to [[https://mac.r-project.org/openmp/|enable OpenMP]] for an additional speed boost on expensive distance metrics (but this is less important and will require you to compile the package from source code).
  
 <!-- doesn't apply at the moment --  <!-- doesn't apply at the moment --