Releases: UCREL/pymusas-models
es_single_upos2usas_contextual-0.3.1
Checksum (SHA256) .tar.gz:
b37cf337be47d63a6e5b94cbc27fe531ef4764795675743248df56027fb8e57e
Checksum (SHA256) .whl:
b3f936cda200131c4ce2b3d68272eeade17b962e227a78194328312e549f60b5
Spanish, Castilian USAS semantic tagger
Feature | Description |
---|---|
Name | es_single_upos2usas_contextual |
Version | 0.3.1 |
spaCy | >=3.0,<4.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 0.16MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/es_single_upos2usas_contextual-0.3.1/es_single_upos2usas_contextual-0.3.1-py3-none-any.whl
es_dual_upos2usas_contextual-0.3.1
Checksum (SHA256) .tar.gz:
6de30b745aa0d680cbf2c567cfb0d5c1c8ab08953e6e68433d3bf497ff51260a
Checksum (SHA256) .whl:
542658d261e78a3401385ec17d309c94a8786ed929e225f54755442cb6d38159
Spanish, Castilian USAS semantic tagger
Feature | Description |
---|---|
Name | es_dual_upos2usas_contextual |
Version | 0.3.1 |
spaCy | >=3.0,<4.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 0.20MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/es_dual_upos2usas_contextual-0.3.1/es_dual_upos2usas_contextual-0.3.1-py3-none-any.whl
en_single_none_contextual-0.3.1
Checksum (SHA256) .tar.gz:
f329945abbaa45fcdb4d869d667b198794342fc6c3ccfdf45361faeb06944b91
Checksum (SHA256) .whl:
5d0b56ab9d850e6212664c6cd33b21c7e4a8ccd38ed9bfc4b88757de83402e28
English USAS semantic tagger
Feature | Description |
---|---|
Name | en_single_none_contextual |
Version | 0.3.1 |
spaCy | >=3.0,<4.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 0.73MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/en_single_none_contextual-0.3.1/en_single_none_contextual-0.3.1-py3-none-any.whl
en_dual_none_contextual-0.3.1
Checksum (SHA256) .tar.gz:
48f8e806b56172fd93591c1955ed3fa0ade5dc7bafeae90bb68cc604c2643806
Checksum (SHA256) .whl:
a4541c614ad9061b62ddd57cfd32d4a58f147dcdfe2d2970c25f0012498653d8
English USAS semantic tagger
Feature | Description |
---|---|
Name | en_dual_none_contextual |
Version | 0.3.1 |
spaCy | >=3.0,<4.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 0.88MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/en_dual_none_contextual-0.3.1/en_dual_none_contextual-0.3.1-py3-none-any.whl
cy_single_basiccorcencc2usas_contextual-0.3.1
Checksum (SHA256) .tar.gz:
31abb6ac4710bab2bafedb833c0fcbd880cd1c2e44554cd1759db18e8a583f96
Checksum (SHA256) .whl:
60294209fcc5a389b9ae537448489985e3c043c72d1e95b4895539afd5f1c76f
Welsh USAS semantic tagger
Feature | Description |
---|---|
Name | cy_single_basiccorcencc2usas_contextual |
Version | 0.3.1 |
spaCy | >=3.0,<4.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 1.09MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/cy_single_basiccorcencc2usas_contextual-0.3.1/cy_single_basiccorcencc2usas_contextual-0.3.1-py3-none-any.whl
cy_dual_basiccorcencc2usas_contextual-0.3.1
Checksum (SHA256) .tar.gz:
afd59f4c138852cb04e335c1c687003aa570cbc25a1e84d88436e7dae2f42c00
Checksum (SHA256) .whl:
3a8f6c2a1ad8c5a9cea66939c9da54430af1a0be648481a50dbcd46a4ee70140
Welsh USAS semantic tagger
Feature | Description |
---|---|
Name | cy_dual_basiccorcencc2usas_contextual |
Version | 0.3.1 |
spaCy | >=3.0,<4.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 1.09MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/cy_dual_basiccorcencc2usas_contextual-0.3.1/cy_dual_basiccorcencc2usas_contextual-0.3.1-py3-none-any.whl
cmn_dual_upos2usas_contextual-0.3.1
Checksum (SHA256) .tar.gz:
4ad79b7cba1918ba9bfa862dc2d8f8fab3d2bacf1680454ea6130d42e259d776
Checksum (SHA256) .whl:
66a88cb9a78ce63415661c1e7f9efd0149ac01d29b4c9fa010b7d67e78e4ec06
Mandarin Chinese USAS semantic tagger
Feature | Description |
---|---|
Name | cmn_dual_upos2usas_contextual |
Version | 0.3.1 |
spaCy | >=3.0,<4.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 1.28MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/cmn_dual_upos2usas_contextual-0.3.1/cmn_dual_upos2usas_contextual-0.3.1-py3-none-any.whl
pt_single_upos2usas_contextual-0.3.0
pt_single_upos2usas_contextual-0.3.0
Checksum (SHA256) .tar.gz:
46b26e66f27dbbdb16b5c08d1a9922526ebf9a2234f149baf0eab3e7fb175c50
Checksum (SHA256) .whl:
3c11cf13179966467bf08e7ceb0b7d831abe7aa46e7919f78aa48abf1d0e598e
Portuguese USAS semantic tagger
Feature | Description |
---|---|
Name | pt_single_upos2usas_contextual |
Version | 0.3.0 |
spaCy | spacy>=3.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 0.25MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/pt_single_upos2usas_contextual-0.3.0/pt_single_upos2usas_contextual-0.3.0-py3-none-any.whl
pt_dual_upos2usas_contextual-0.3.0
pt_dual_upos2usas_contextual-0.3.0
Checksum (SHA256) .tar.gz:
edadc2cd41be5773cbad99ca9c6b329c08328e503efa1dbbdd81fb271961b583
Checksum (SHA256) .whl:
8bdefbb424cd82a5897334082ef9d21a3b545ae808e574d82e4e7973d0be01a6
Portuguese USAS semantic tagger
Feature | Description |
---|---|
Name | pt_dual_upos2usas_contextual |
Version | 0.3.0 |
spaCy | spacy>=3.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 0.27MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/pt_dual_upos2usas_contextual-0.3.0/pt_dual_upos2usas_contextual-0.3.0-py3-none-any.whl
nl_single_upos2usas_contextual-0.3.0
nl_single_upos2usas_contextual-0.3.0
Checksum (SHA256) .tar.gz:
8702fa9f513c573772e840da21bedb1fa927e889768d528e86682f6837456a5b
Checksum (SHA256) .whl:
26db0fc1d3e54f59a6965f23ebab48b07444680ce3b6fcb750e141266ea60a4a
Dutch, Flemish USAS semantic tagger
Feature | Description |
---|---|
Name | nl_single_upos2usas_contextual |
Version | 0.3.0 |
spaCy | spacy>=3.0 |
Default Pipeline | pymusas_rule_based_tagger |
Components | pymusas_rule_based_tagger |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | CC BY-NC-SA 4.0 |
Author | UCREL Research Centre |
Model size | 0.15MB |
Installation
pip install https://github.com/UCREL/pymusas-models/releases/download/nl_single_upos2usas_contextual-0.3.0/nl_single_upos2usas_contextual-0.3.0-py3-none-any.whl