https://github.com/miweru/vrt_spacy

https://github.com/miweru/vrt_spacy

corpora linguistic-corpora linguistics nlp spacy vrt wrapper

Last synced: 18 days ago
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• Host: GitHub
• URL: https://github.com/miweru/vrt_spacy
• Owner: miweru
• License: gpl-3.0
• Created: 2019-12-19T20:36:14.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-19T23:41:50.000Z (almost 5 years ago)
• Last Synced: 2024-10-08T01:31:12.170Z (29 days ago)
• Topics: corpora, linguistic-corpora, linguistics, nlp, spacy, vrt, wrapper
• Language: Python
• Size: 20.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# vrt_spacy

Python class for creating vrt-annotated corpora.

Still in very early testing stage.

Install by typing:

```bash

pip install vrt_spacy

```

Usage Example:

```python

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