  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.
