A Python based API to access Indian language WordNets (pyiwn)

pyIWN -- A Python based API to access Indian language WordNets -- This API gives access to synsets, glosses, examples, lexico-semantic relations between synsets, ontology nodes for 18 Indian languages, see LANGUAGES.md for the complete list of supported languages. In future, it will also provide access to speech data for words, glosses examples in Hindi WordNet.

Prerequisite

Python 3.5+

Installation

pyiwn can be installed using pip

pip install --upgrade pyiwn

or install it from the source

git clone https://github.com/riteshpanjwani/pyiwn.git
cd pyiwn
python setup.py install

Please see examples/ for further instructions and usage.

Citing

If you publish work that uses pyiwn, please cite the pyiwn paper, as follows:

@inproceedings{panjwani-etal-2018-pyiwn,
    title = "pyiwn: A Python based {API} to access {I}ndian Language {W}ord{N}ets",
    author = "Panjwani, Ritesh  and
      Kanojia, Diptesh  and
      Bhattacharyya, Pushpak",
    booktitle = "Proceedings of the 9th Global Wordnet Conference",
    month = jan,
    year = "2018",
    address = "Nanyang Technological University (NTU), Singapore",
    publisher = "Global Wordnet Association",
    url = "https://aclanthology.org/2018.gwc-1.47",
    pages = "378--383",
    abstract = "Indian language WordNets have their individual web-based browsing interfaces along with a common interface for IndoWordNet. These interfaces prove to be useful for language learners and in an educational domain, however, they do not provide the functionality of connecting to them and browsing their data through a lucid application programming interface or an API. In this paper, we present our work on creating such an easy-to-use framework which is bundled with the data for Indian language WordNets and provides NLTK WordNet interface like core functionalities in Python. Additionally, we use a pre-built speech synthesis system for Hindi language and augment Hindi data with audios for words, glosses, and example sentences. We provide a detailed usage of our API and explain the functions for ease of the user. Also, we package the IndoWordNet data along with the source code and provide it openly for the purpose of research. We aim to provide all our work as an open source framework for further development.",
}

Copyright

Copyright (C) 2017 pyiwn Project

For license information, see LICENSE.txt.

AUTHORS.md have a list of everyone contributed to pyiwn.