Skip to main content

Python API for GermaNet

Project description

germanetpy

Welcome. This is the Python API for the German wordnet GermaNet. GermaNet is a lexical-semantic net that relates German nouns, verbs, and adjectives semantically by grouping lexical units that express the same concept into synsets and by defining semantic relations between these synsets. This API can be used to extract structured information from the GermaNet with python. More information about GermaNet can be found on the following page:

https://uni-tuebingen.de/en/142806

Installation

You can install germanetpy from PyPI (https://pypi.org/project/germanetpy/):

pip install germanetpy

Get the GermaNet data as XML files and put all files in a data directory. When you use the API to load the data, the path pointing to the directory containing the XML files needs to be specified. The API is supported with Python 3.

How to use

You can read the documentation here

The API provides functionality that can be used to load the data from GermaNet and query it. The data has to be retrieved via a license agreement from the University of Tübingen, Seminar für Sprachwissenschaften:

https://uni-tuebingen.de/en/142828

To use the data for queries you first have to create a Germanet object, which loads the data specified as an argument once. This takes a few seconds:

from germanetpy import germanet

germanet_object = germanet.Germanet(path_to_the_GermaNet_XML_files)

This repository also provides a Tutorial [https://github.com/Blubberli/germanetpy/blob/master/germanetpy_tutorial.ipynb] that shows how to use the API to query GermaNet. If you want to use the tutorial as an interactive jupyter notebook, clone this repository:

git clone https://github.com/Germanet-sfs/germanetTutorials.git

and follow the instructions in the README https://github.com/Germanet-sfs/germanetTutorials

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

germanetpy-0.2.3.tar.gz (37.5 kB view details)

Uploaded Source

Built Distribution

germanetpy-0.2.3-py3-none-any.whl (33.7 kB view details)

Uploaded Python 3

File details

Details for the file germanetpy-0.2.3.tar.gz.

File metadata

  • Download URL: germanetpy-0.2.3.tar.gz
  • Upload date:
  • Size: 37.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for germanetpy-0.2.3.tar.gz
Algorithm Hash digest
SHA256 cc11658ff5f028e0dc164b832fcc873c39b7c90a41f860735142d3e29ca649b6
MD5 064513b180149378523158bf695426f9
BLAKE2b-256 faf543e1c16a6c7931c3aa165b267a89fd6b0ae413614267d5889c7fd4422449

See more details on using hashes here.

Provenance

File details

Details for the file germanetpy-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: germanetpy-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 33.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for germanetpy-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 511109176c9487409bf7f7fb6002a0cc14cc07614722a7d36592c0f7ea708db3
MD5 ca589fadc1610d2882b002c89414469c
BLAKE2b-256 6d8091e8d83418e8bc94774e1280c75dd6cdd8ffa783dc31f0e741a49eba91c0

See more details on using hashes here.

Provenance

Supported by

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