Skip to main content

Figurenerkennung for German literary texts.

Project description

Named entity recognition for German literary texts.

Installation

$ pip install figur

Example

>>> import figur
>>> text = "Der Gärtner entfernte sich eilig, und Eduard folgte bald."
>>> figur.tag(text)
    SentenceId      Token      Tag
0            0        Der        _
1            0    Gärtner  AppTdfW
2            0  entfernte        _
3            0       sich     pron
4            0      eilig        _
5            0          ,        _
6            0        und        _
7            0     Eduard     Core
8            0     folgte        _
9            0       bald        _
10           0          .        _

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

figur-0.0.1.tar.gz (3.2 kB view details)

Uploaded Source

Built Distribution

figur-0.0.1-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file figur-0.0.1.tar.gz.

File metadata

  • Download URL: figur-0.0.1.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.26.0 CPython/3.7.2

File hashes

Hashes for figur-0.0.1.tar.gz
Algorithm Hash digest
SHA256 4cfb5fd22e8b2c3aaf7eb8df73442fe1438e5fd2c8c853731cdbc6185ed8635a
MD5 e02779a570659e9090371729fcda68ea
BLAKE2b-256 65db0717c1fa2b2115883649a72ec41b3548a8fc81f5ab9b1f407b08d0050b9d

See more details on using hashes here.

File details

Details for the file figur-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: figur-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.26.0 CPython/3.7.2

File hashes

Hashes for figur-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8312dad95bfc45ae2a2e60fc0569bb47acd3eeec628eafc23de6aff7c80c1407
MD5 be20e06b634a0c0003e915bedffe37ad
BLAKE2b-256 ac4bae80a6f8ae942297eda33f02d2f4ec80be6c0552068ac5376a6f329221b5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page