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Anncorra is a python package for giving meaning to POS (Part of Speech) tags.

Project description

Tags of AnnCorra

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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.

Requirements

Package requires the following to run:

  • python (preferable version 3+)

Installation

Use the package manager pip to install foobar.

pip install anncorra

or

git clone https://github.com/kuldip-barot/anncorra.git
cd anncorra
python setup.py install

Usage

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”.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

References

AnnCorra : Annotating Corpora; Guidelines For POS And Chunk Annotation For Indian Languages

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