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course:material [2018/08/06 12:26]
schtepf [Software for the course]
course:material [2018/08/24 16:59]
schtepf [Neural word embeddings]
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 These models were compiled from ''​WP500'',​ a 200-million word subset of the Wackypedia corpus comprising the first 500 words of each article. Each model covers a vocabulary of the 50,000 most frequent content words (lemmatized) in the corpus and has at least 50,000 feature dimensions. The latent SVD dimensions are based on log-transformed sparse simple-ll scores with L2-normalization. Power scaling with Caron $P = 0$ (i.e. equalization of the latent dimensions) has been applied, but the reduced vectors are not re-normalized. ​ These models were compiled from ''​WP500'',​ a 200-million word subset of the Wackypedia corpus comprising the first 500 words of each article. Each model covers a vocabulary of the 50,000 most frequent content words (lemmatized) in the corpus and has at least 50,000 feature dimensions. The latent SVD dimensions are based on log-transformed sparse simple-ll scores with L2-normalization. Power scaling with Caron $P = 0$ (i.e. equalization of the latent dimensions) has been applied, but the reduced vectors are not re-normalized. ​
  
-  * dependency-filtered:​ ''​[[http://​www.collocations.de/​data/​WP500_DepFilter_Lemma.rda|WP500_DepFilter_Lemma.rda]]''​ (31.1 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_DepFilter_Lemma_svd500.rda|WP500_DepFilter_Lemma_svd500.rda]]''​ (179.3 MB) +  * dependency-filtered:​ ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_DepFilter_Lemma.rda|WP500_DepFilter_Lemma.rda]]''​ (31.1 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_DepFilter_Lemma_svd500.rda|WP500_DepFilter_Lemma_svd500.rda]]''​ (179.3 MB) 
-  * dependency-structured:​ ''​[[http://​www.collocations.de/​data/​WP500_DepStruct_Lemma.rda|WP500_DepStruct_Lemma.rda]]''​ (31.6 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_DepStruct_Lemma_svd500.rda|WP500_DepStruct_Lemma_svd500.rda]]''​ (180.3 MB) +  * dependency-structured:​ ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_DepStruct_Lemma.rda|WP500_DepStruct_Lemma.rda]]''​ (31.6 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_DepStruct_Lemma_svd500.rda|WP500_DepStruct_Lemma_svd500.rda]]''​ (180.3 MB) 
-  * L2/R2 surface span: ''​[[http://​www.collocations.de/​data/​WP500_Win2_Lemma.rda|WP500_Win2_Lemma.rda]]''​ (51.8 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Win2_Lemma_svd500.rda|WP500_Win2_Lemma_svd500.rda]]''​ (177.1 MB) +  * L2/R2 surface span: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win2_Lemma.rda|WP500_Win2_Lemma.rda]]''​ (51.8 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win2_Lemma_svd500.rda|WP500_Win2_Lemma_svd500.rda]]''​ (177.1 MB) 
-  * L5/R5 surface span: ''​[[http://​www.collocations.de/​data/​WP500_Win5_Lemma.rda|WP500_Win5_Lemma.rda]]''​ (103.9 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Win5_Lemma_svd500.rda|WP500_Win5_Lemma_svd500.rda]]''​ (179.9 MB) +  * L5/R5 surface span: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win5_Lemma.rda|WP500_Win5_Lemma.rda]]''​ (103.9 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win5_Lemma_svd500.rda|WP500_Win5_Lemma_svd500.rda]]''​ (179.9 MB) 
-  * L30/R30 surface span: ''​[[http://​www.collocations.de/​data/​WP500_Win30_Lemma.rda|WP500_Win30_Lemma.rda]]''​ (311.4 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Win30_Lemma_svd500.rda|WP500_Win30_Lemma_svd500.rda]]''​ (182.8 MB) +  * L30/R30 surface span: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win30_Lemma.rda|WP500_Win30_Lemma.rda]]''​ (311.4 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win30_Lemma_svd500.rda|WP500_Win30_Lemma_svd500.rda]]''​ (182.8 MB) 
-  * term-document model: ''​[[http://​www.collocations.de/​data/​WP500_TermDoc_Lemma.rda|WP500_TermDoc_Lemma.rda]]''​ (105.1 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_TermDoc_Lemma_svd500.rda|WP500_TermDoc_Lemma_svd500.rda]]''​ (162.5 MB) +  * term-document model: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_TermDoc_Lemma.rda|WP500_TermDoc_Lemma.rda]]''​ (105.1 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_TermDoc_Lemma_svd500.rda|WP500_TermDoc_Lemma_svd500.rda]]''​ (162.5 MB) 
-  * type contexts (L1+R1): ''​[[http://​www.collocations.de/​data/​WP500_Ctype_L1R1_Lemma.rda|WP500_Ctype_L1R1_Lemma.rda]]''​ (55.8 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Ctype_L1R1_Lemma_svd500.rda|WP500_Ctype_L1R1_Lemma_svd500.rda]]''​ (157.0 MB) +  * type contexts (L1+R1): ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Ctype_L1R1_Lemma.rda|WP500_Ctype_L1R1_Lemma.rda]]''​ (55.8 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Ctype_L1R1_Lemma_svd500.rda|WP500_Ctype_L1R1_Lemma_svd500.rda]]''​ (157.0 MB) 
-  * type contexts (L2+R2): ''​[[http://​www.collocations.de/​data/​WP500_Ctype_L2R2_Lemma.rda|WP500_Ctype_L2R2_Lemma.rda]]''​ (33.1 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Ctype_L2R2_Lemma_svd500.rda|WP500_Ctype_L2R2_Lemma_svd500.rda]]''​ (64.3 MB) +  * type contexts (L2+R2): ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Ctype_L2R2_Lemma.rda|WP500_Ctype_L2R2_Lemma.rda]]''​ (33.1 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Ctype_L2R2_Lemma_svd500.rda|WP500_Ctype_L2R2_Lemma_svd500.rda]]''​ (64.3 MB) 
-  * type contexts (L2+R2 POS tags): ''​[[http://​www.collocations.de/​data/​WP500_Ctype_L2R2pos_Lemma.rda|WP500_Ctype_L2R2pos_Lemma.rda]]''​ (56.1 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Ctype_L2R2pos_Lemma_svd500.rda|WP500_Ctype_L2R2pos_Lemma_svd500.rda]]''​ (175.3 MB) +  * type contexts (L2+R2 POS tags): ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Ctype_L2R2pos_Lemma.rda|WP500_Ctype_L2R2pos_Lemma.rda]]''​ (56.1 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Ctype_L2R2pos_Lemma_svd500.rda|WP500_Ctype_L2R2pos_Lemma_svd500.rda]]''​ (175.3 MB) 
-  * word forms L2/R2: ''​[[http://​www.collocations.de/​data/​WP500_Win2_Word.rda|WP500_Win2_Word.rda]]''​ (63.9 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Win2_Word_svd500.rda|WP500_Win2_Word_svd500.rda]]''​ (185.5 MB) +  * word forms L2/R2: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win2_Word.rda|WP500_Win2_Word.rda]]''​ (63.9 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win2_Word_svd500.rda|WP500_Win2_Word_svd500.rda]]''​ (185.5 MB) 
-  * word forms L2/R2 with non-lemmatized features: ''​[[http://​www.collocations.de/​data/​WP500_Win2_Word_WF.rda|WP500_Win2_Word_WF.rda]]''​ (68.9 MB) – 500 latent SVD dimensions: ''​[[http://​www.collocations.de/​data/​WP500_Win2_Word_WF_svd500.rda|WP500_Win2_Word_WF_svd500.rda]]''​ (185.9 MB)+  * word forms L2/R2 with non-lemmatized features: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win2_Word_WF.rda|WP500_Win2_Word_WF.rda]]''​ (68.9 MB) – 500 latent SVD dimensions: ''​[[http://​corpora.linguistik.uni-erlangen.de/data/wordspace/​WP500_Win2_Word_WF_svd500.rda|WP500_Win2_Word_WF_svd500.rda]]''​ (185.9 MB)
  
 ==== Neural word embeddings ==== ==== Neural word embeddings ====
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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 =====