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--- course:material [2022/08/07 18:46] – [Software for the course] schtepf
+++ course:material [2026/09/28 23:30] (current) – [Software for the course] schtepf
@@ Line 1: / Line 1: @@
 ====== Courses and Tutorials on DSM  ======
+[[course:slides|Course materials]] –
 [[course:esslli2009:start|ESSLLI 2009]] –
 [[course:acl2010:start|NAACL-HLT 2010]] –
 [[course:esslli2018:start|ESSLLI '16 & '18]] –
-[[course:esslli2021:start|ESSLLI 2021]] –
+[[course:esslli2021:start|ESSLLI '21 & '22]] –
+[[course:fribourg2026:start|U Fribourg 2026/27]] –
 **Software & data sets** –
 [[course:bibliography|Bibliography]]
@@ Line 13: / Line 15: @@
 Practical examples and exercises for these courses and tutorials are based on the user-friendly software package [[http://wordspace.r-forge.r-project.org/|wordspace]] for the interactive statistical computing environment [[http://www.r-project.org/|R]].  If you want to follow along, please bring your own laptop and set up the required software as follows:
-  - Install up-to-date versions of [[https://cran.r-project.org/banner.shtml|R]] (4.0 or newer) and the [[https://www.rstudio.com/products/rstudio/download/#download|RStudio]] GUI
+  - Install up-to-date versions of [[https://cran.r-project.org/banner.shtml|R]] (4.6 or newer) and the [[https://www.rstudio.com/products/rstudio/download/#download|RStudio]] GUI
   - Use the installer built into RStudio (or the standard R GUI) to install the following packages from the CRAN archive:
-    * ''sparsesvd'' (v0.2)
+    * ''sparsesvd'' (v0.2-3)
-    * ''wordspace'' (v0.2-6)
+    * ''wordspace'' (v0.2-9)
     * recommended: ''e1071'', ''rsparse'', ''Rtsne'', ''uwot''
     * optional: ''tm'', ''quanteda'', ''data.table'', ''wordcloud'', ''shiny'', ''spacyr'', ''udpipe'', ''coreNLP'' (don't worry if some of these fail to install)
-    * optional: ''NMF'' (also install ''biocManager'', then run command ''BiocManager::install("bioBase")'')
   - During the course, you will be asked to install a further package with additional evaluation tasks (''wordspaceEval'') from a password-protected Web page:
-    * ''wordspaceEval'' v0.2: [[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)
+    * ''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)
-    * 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)
+      * 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 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 the sample data files listed below
@@ Line 34: / Line 36: @@
   - In Linux, it should be sufficient to install the OpenBLAS package, e.g. in Ubuntu: ''sudo apt install libopenblas-dev''
-  - In MacOS, follow [[https://groups.google.com/g/r-sig-mac/c/YN6uNYCIZK0|these instructions]] to enable the VecLib BLAS built into 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).
+  - In MacOS, you can enable the VecLib BLAS built into MacOS by typing the following commands in a Terminal window <code>
-  - In Windows, you can try installing [[https://mran.microsoft.com/open|Microsoft R Open]] or do a Web search for alternative solutions.
+cd /Library/Frameworks/R.framework/Libraries
+ln -sf libRblas.vecLib.dylib libRblas.dylib
+</code>
+  - 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).
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