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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 =====

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