Language technologies contribute to promoting multilingualism and linguistic diversity around the world. However, only a very small number of the over 7000 languages of the world are represented in the rapidly evolving language technologies and applications. In this paper we look at the relation between the types of languages, resources, and their representation in NLP conferences to understand the trajectory that different languages have followed over time. Our quantitative investigation underlines the disparity between languages, especially in terms of their resources, and calls into question the "language agnostic" status of current models and systems. Through this paper, we attempt to convince the ACL community to prioritise the resolution of the predicaments highlighted here, so that no language is left behind.
@inproceedings{joshi-etal-2020-state, title="The State and Fate of Linguistic Diversity and Inclusion in the {NLP} World", author="Joshi, Pratik and Santy, Sebastin and Budhiraja, Amar and Bali, Kalika and Choudhury, Monojit", booktitle="Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics", year="2020", doi="10.18653/v1/2020.acl-main.560", }
We create a consistent data model to complement the existing ACL Anthology Corpus with data from later years and of non-ACL conferences. We do this by augmenting the corpus using Semantic Scholar’s API and scraping ACL Anthology itself. This is a consolidated dataset for 11 conferences with different attributes. Stay tuned :)
We plot T-SNE of the Language-Conference-Authors entity embeddings. As they are in the same space, they help us in understanding the relations which exist between them.
Embeddings Plot