Both sides previous revision
Previous revision
Next revision
|
Previous revision
Next revision
Both sides next revision
|
course:material [2018/08/06 12:21] schtepf [Software for the course] |
course:material [2018/08/24 16:59] schtepf [Neural word embeddings] |
- Download one or more of the pre-compiled DSMs listed below | - Download one or more of the pre-compiled DSMs listed below |
| |
- Install the ''wordspace'' package itself. It is available from CRAN through the standard installer, but you may be asked to use the latest version available here: | ==== Getting the latest & greatest ==== |
* ''wordspace'' v0.2-0: [[http://wordspace.r-forge.r-project.org/downloads/wordspace_0.2-0.tar.gz|Source/Linux]] – [[http://wordspace.r-forge.r-project.org/downloads/wordspace_0.2-0.tgz|MacOS]] – [[http://wordspace.r-forge.r-project.org/downloads/wordspace_0.2-0.zip|Windows]] | |
* download a suitable version of the package for your platform | During the course, you may be asked to install a new version of ''wordspace'' that hasn't been submitted to CRAN yet. In this case, please follow these instructions: |
* in the RStudio installer, select “Install from: Package Archive File” | |
| |
- Use the installer built into RStudio (or the standard R GUI) to install the following packages from the CRAN archive: | - Use the installer built into RStudio (or the standard R GUI) to install the following packages from the CRAN archive: |
* ''sparsesvd'' | * ''sparsesvd'' |
* ''wordspace'' | * ''iotools'' |
* ''word | |
* ''tm'' (optional) | |
* ''quanteda'' (optional) | |
* ''Rcpp'' (needed on Linux only) | * ''Rcpp'' (needed on Linux only) |
| - Download an appropriate version of the package for your platform: |
| * ''wordspace'' v0.2-0: [[http://wordspace.r-forge.r-project.org/downloads/wordspace_0.2-0.tar.gz|Source/Linux]] – [[http://wordspace.r-forge.r-project.org/downloads/wordspace_0.2-0.tgz|MacOS]] – [[http://wordspace.r-forge.r-project.org/downloads/wordspace_0.2-0.zip|Windows]] |
| - In the RStudio installer, select “Install from: Package Archive File” |
| |
| You can also check the [[http://wordspace.r-forge.r-project.org/|wordspace homepage]] for new releases and installation instructions. |
| |
===== Example data sets ===== | ===== Example data sets ===== |
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 ==== |
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 ===== |