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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

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Source distribution (sdist)

Source distribution for vrt-spacy 0.0.1
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Table of built distributions (wheels) for vrt-spacy 0.0.1
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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

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