Skip to main content

Figurenerkennung for German literary texts

Project description

Figurenerkennung for German literary texts

Build Status DOI

An important step in the quantitative analysis of narrative texts is the automatic recognition of references to figures, a special case of the generic NLP problem of Named Entity Recognition (NER).

Usually NER models are not designed for literary texts resulting in poor recall. This easy-to-use package is the continuation of the work of Jannidis et al. using techniques from the field of Deep Learning.


$ pip install figur


>>> 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        und        _
6           0     Eduard     Core
7           0     folgte        _
8           0      bald.        _

Figurenerkennung statistics

Confusion Matrix

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-0.0.6.tar.gz (3.8 kB view hashes)

Uploaded Source

Built Distribution

figur-0.0.6-py3-none-any.whl (5.3 kB view hashes)

Uploaded Python 3

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