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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 ===== |