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| course:material [2026/09/28 08:08] – [Software for the course] schtepf | course:material [2026/09/28 23:30] (current) – [Software for the course] schtepf |
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| ====== 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]] |
| * 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 |
| |
| - In Linux, it should be sufficient to install the OpenBLAS package, e.g. in Ubuntu: ''sudo apt install libopenblas-dev'' | - 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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| <!-- doesn't apply at the moment -- | <!-- doesn't apply at the moment -- |
