@inproceedings{goodman-bond-2021-intrinsically,
title = "Intrinsically Interlingual: The Wn Python Library for Wordnets",
author = "Goodman, Michael Wayne and
Bond, Francis",
editor = "Vossen, Piek and
Fellbaum, Christiane",
booktitle = "Proceedings of the 11th Global Wordnet Conference",
month = jan,
year = "2021",
address = "University of South Africa (UNISA)",
publisher = "Global Wordnet Association",
url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2021.gwc-1.12/",
pages = "100--107",
abstract = "This paper introduces Wn, a new Python library for working with wordnets. Unlike previous libraries, Wn is built from the beginning to accommodate multiple wordnets {---} for multiple languages or multiple versions of the same wordnet {---} while retaining the ability to query and traverse them independently. It is also able to download and incorporate wordnets published online. These features are made possible through Wn`s adoption of standard formats and methods for interoperability, namely the WN-LMF schema (Vossen et al., 2013; Bond et al., 2020) and the Collaborative Interlingual Index (Bond et al., 2016). Wn is open-source, easily available, and well-documented."
}
Markdown (Informal)
[Intrinsically Interlingual: The Wn Python Library for Wordnets](https://preview.aclanthology.org/add-emnlp-2024-awards/2021.gwc-1.12/) (Goodman & Bond, GWC 2021)
ACL