Skip to main content

creating vrt corpora

Project description

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

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for vrt-spacy, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size vrt_spacy-0.0.1-py3-none-any.whl (14.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size vrt_spacy-0.0.1.tar.gz (2.5 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page