Figurenerkennung for German literary texts
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.
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 und _
6 0 Eduard Core
7 0 folgte _
8 0 bald. _
Figurenerkennung statistics
Metadata
Release files for figur 0.0.8
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| File | Size | Uploaded | Provenance | Actions |
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| figur-0.0.8.tar.gz | 3.9 kB | Without provenance | Details for figur-0.0.8.tar.gz |
Release files / figur-0.0.8.tar.gz
| Download URL | figur-0.0.8.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
1e19db8de8c675e916b1e12a48f902310e4a59e150df8f5efc5ac84c90f2d8eb
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| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.2
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