vrt_spacy
Python class for creating vrt-annotated corpora. Still in very early testing stage.
Install by typing:
pip install vrt_spacy
Usage Example:
from vrt import Corpus, S, Text
from vrt_spacy import Annotate
with Corpus("~","meinkorpus",4,"text_name") as c:
annotate = Annotate(c, spacymodel="de_core_news_md")
annotate("Das hier ist mein Text", text_name="Text1")
with Text(c, text_name="Text2") as t:
with S(c) as s:
s.writep("Test","TAG","TAG","Lemma")
Features:
- Represent Corpus, Text, P and S Attributes
- Integration of spacy for automatic generation of a vrt-representation of texts
- Using Context Manager for xml-hierarchy representation
- Reduces to utf8mb3 and checks formatting compatibility
Release files for vrt-spacy 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vrt_spacy-0.0.1.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vrt_spacy-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.3 kB
Release files / vrt_spacy-0.0.1.tar.gz
| Download URL | vrt_spacy-0.0.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.8.0
|
Release files / vrt_spacy-0.0.1-py3-none-any.whl
| Download URL | vrt_spacy-0.0.1-py3-none-any.whl |
|---|---|
| Size | 14.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.8.0
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