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Releases: UCREL/pymusas-models

pt_single_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
pt_single_upos2usas_contextual-0.3.3
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pt_single_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: 341cec35e57ff482e411968bde7c196bf817927c214f91cc9ad89256f5b93db8

Checksum (SHA256) .whl: 2832e01773f8ab3f2538ff23ea75706856d9d7fe770a099308baa8b0e6639efd

Portuguese USAS semantic tagger

Feature Description
Name pt_single_upos2usas_contextual
Version 0.3.3
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 0.25MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/pt_single_upos2usas_contextual-0.3.3/pt_single_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

pt_dual_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
pt_dual_upos2usas_contextual-0.3.3
9091846
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pt_dual_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: 1ae2bfa422fa38cd22790cbe256a4f0c299f74827863ac1851fbebfb634b96cc

Checksum (SHA256) .whl: ea762f0df283ee4ed98ae80f8f7ae257e7425b9c92e63a25b0f8ddfae84b0059

Portuguese USAS semantic tagger

Feature Description
Name pt_dual_upos2usas_contextual
Version 0.3.3
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 0.27MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/pt_dual_upos2usas_contextual-0.3.3/pt_dual_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

nl_single_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
nl_single_upos2usas_contextual-0.3.3
9091846
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nl_single_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: ef7e2d4bc6e9b09a44d454be2b751fd82fe29ea869ec31c5de86e7a07b9e4316

Checksum (SHA256) .whl: 5fcaa47f38ba2e246c27f45c79cab9919307387489486032f2061c4a5054f038

Dutch, Flemish USAS semantic tagger

Feature Description
Name nl_single_upos2usas_contextual
Version 0.3.3
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 0.15MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/nl_single_upos2usas_contextual-0.3.3/nl_single_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

it_single_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
it_single_upos2usas_contextual-0.3.3
9091846
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it_single_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: 33c45f105b28cbedc43dafd6f264c97152561a062c1909ba48027b911fde61a4

Checksum (SHA256) .whl: 6c5f2bd0a9b96d26989dfaaad93e2a4ca9d1d6abfbfd606e6d47bb84c7beb3fa

Italian USAS semantic tagger

Feature Description
Name it_single_upos2usas_contextual
Version 0.3.3
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 0.42MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/it_single_upos2usas_contextual-0.3.3/it_single_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

it_dual_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
it_dual_upos2usas_contextual-0.3.3
9091846
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it_dual_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: 12f13a5e1ceb5f77a6951c7699ce04ba4db8a2d989149a51f0d762f0530f590f

Checksum (SHA256) .whl: 2aa92c5697a0ddd6dc23b666c60f3188219d1441384c17fccdaf78705a508059

Italian USAS semantic tagger

Feature Description
Name it_dual_upos2usas_contextual
Version 0.3.3
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 0.50MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/it_dual_upos2usas_contextual-0.3.3/it_dual_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

id_single_none_contextual-0.3.3

14 Aug 13:54
@dml2611 dml2611
id_single_none_contextual-0.3.3
9091846
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id_single_none_contextual-0.3.3

Checksum (SHA256) .tar.gz: 32105333f088734721058a9d2163c40367c31e71f6bfc5cb2ecac35818584d92

Checksum (SHA256) .whl: 3d93dbb489f7391140fb55faf3dfe834399d9ef82f49baa9464d20570040686a

Indonesian USAS semantic tagger

Feature Description
Name id_single_none_contextual
Version 0.3.3
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 0.24MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/id_single_none_contextual-0.3.3/id_single_none_contextual-0.3.3-py3-none-any.whl
Assets 4

fr_single_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
fr_single_upos2usas_contextual-0.3.3
9091846
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fr_single_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: 4b0ceb39b67359eb3a6db4dec5a1e2a5c695cc3a7a69a186f00e784835464626

Checksum (SHA256) .whl: 14ccd7e1ee65ddce84713da58367ca47a92e1fcefc3e8fc2131f8dbf6723e385

French USAS semantic tagger

Feature Description
Name fr_single_upos2usas_contextual
Version 0.3.3
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 0.08MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/fr_single_upos2usas_contextual-0.3.3/fr_single_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

fi_single_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
fi_single_upos2usas_contextual-0.3.3
9091846
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fi_single_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: 601ab5aa61dc7b9380ec196659f1f9be741c7c04b0745eec72078280ef6f92b6

Checksum (SHA256) .whl: b04516a6c1e80945d8cb7b16c1847a14ccc47b925306ad5c6eac564b746faa3b

Finnish USAS semantic tagger

Feature Description
Name fi_single_upos2usas_contextual
Version 0.3.3
spaCy >=3.3,<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 0.63MB

Installation

pip install https://github.com/UCREL/pymusas-models/releases/download/fi_single_upos2usas_contextual-0.3.3/fi_single_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

es_single_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
es_single_upos2usas_contextual-0.3.3
9091846
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
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es_single_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: ed083cc60a872d20237310d03766696c86d70b1803c5f9a2146ab17a5c5c420a

Checksum (SHA256) .whl: 5020a68d9b80c0b79ab9f5f4e79546601e1a9cc8cbc394778931c02bf5a23bfc

Spanish, Castilian USAS semantic tagger

Feature Description
Name es_single_upos2usas_contextual
Version 0.3.3
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-0.3.3/es_single_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4

es_dual_upos2usas_contextual-0.3.3

14 Aug 13:53
@dml2611 dml2611
es_dual_upos2usas_contextual-0.3.3
9091846
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
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es_dual_upos2usas_contextual-0.3.3

Checksum (SHA256) .tar.gz: 49c51a96d6ecf984e48c626c1856cbdeeab4514955062aafd9cc171a65b9a9c3

Checksum (SHA256) .whl: dfa308c36757d6211264a35c165bab3e523046385d07234c5c744dbaacce0448

Spanish, Castilian USAS semantic tagger

Feature Description
Name es_dual_upos2usas_contextual
Version 0.3.3
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-0.3.3/es_dual_upos2usas_contextual-0.3.3-py3-none-any.whl
Assets 4