Metadata-Version: 2.1
Name: anncorra
Version: 0.0.2
Summary: Anncorra is a python package for giving meaning to POS (Part of Speech) tags.
Home-page: https://github.com/kuldip-barot/anncorra
Author: Kuldeep Barot
License: Apache License 2.0
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Requires-Python: >=3.5
Description-Content-Type: text/markdown

# 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](https://en.wikipedia.org/wiki/Part-of-speech_tagging) (Part Of Speech) Tags along with examples.

## Requirements

Package requires the following to run:

  * [python](https://www.python.org/downloads/) (preferable version 3+)


## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install anncorra
``` 

or

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

## Usage

Import the package after installation.

```python
>>> 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](http://ltrc.iiit.ac.in/winterschool08/content/data/revised-chunk-pos-ann-guidelines-15-Dec-06.doc)


