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Language technologies contribute to promoting multilingualism and linguisticdiversity around the world. However, only a very small number of the over 7000languages of the world are represented in the rapidly evolving languagetechnologies and applications. In this paper we look at the relation betweenthe types of languages, resources, and their representation in NLP conferencesto 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 "languageagnostic" status of current models and systems. Through this paper, we attemptto convince the ACL community to prioritise the resolution of the predicamentshighlighted here, so that no language is left behind.

The State and Fate of Linguistic Diversity and Inclusion in the NLP World