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course:material [2018/08/24 16:58]
schtepf [DSMs based on the English Wikipedia]
course:material [2019/05/17 09:49]
schtepf [Software for the course]
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     * ''​sparsesvd''​     * ''​sparsesvd''​
     * ''​wordspace''​     * ''​wordspace''​
-    * optional: ''​tm'',​ ''​quanteda'',​ ''​Rtsne'',​ ''​shiny''​+    * optional: ''​tm'',​ ''​quanteda'',​ ''​Rtsne'',​ ''​uwot'',​ ''​wordcloud'',​ ''​shiny''​, ''​corpustools'',​ ''​spacyr'',​ ''​udpipe''​ (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:
     * ''​wordspaceEval''​ v0.1: [[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)     * ''​wordspaceEval''​ v0.1: [[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)
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 Some publicly available pre-trained neural embeddings, converted into ''​.rda''​ format for use with the ''​wordspace''​ package. Some publicly available pre-trained neural embeddings, converted into ''​.rda''​ format for use with the ''​wordspace''​ package.
  
-  * word2vec: ''​[[http://​www.collocations.de/​data/​GoogleNews300_wf200k.rda|GoogleNews300_wf200k.rda]]''​ (129.2 MiB) +  * word2vec: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​GoogleNews300_wf200k.rda|GoogleNews300_wf200k.rda]]''​ (129.2 MiB) 
  
 ===== Web interfaces ===== ===== Web interfaces =====