Anncorra is a python package for giving meaning to POS (Part of Speech) tags.
Tags of AnnCorra
Indian Language Machine Translation (ILMT) project has taken the task of annotating corpora (AnnCorra) of several Indian languages and came up with tags which have been defined for the tagging schemes for POS (part of speech) tagging.
This repository would explain the POS (Part Of Speech) Tags along with examples.
Package requires the following to run:
- python (preferable version 3+)
Use the package manager pip to install foobar.
pip install anncorra
git clone https://github.com/kuldip-barot/anncorra.git cd anncorra python setup.py install
Import the package after installation.
>>> import anncorra >>> anncorra.explain('NN')
The output of above command:
POS Tags : NN Full form : Noun Desription : The tag NN tag set makes a distinction between noun singular (NN) and noun plural (NNS). Example : yaha bAta galI_NN galI_RDP meM phEla gayI 'this' 'talk' 'lane' 'lane' 'in' 'spread' 'went' “The word was spread in every lane”.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
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