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

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arxiv 2004.09095 v3 pith:ZOBZA6VH submitted 2020-04-20 cs.CL

classification cs.CL
keywords languagelanguagesworlddiversitylinguisticresourcestechnologiesagnostic
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Forward citations

Cited by 10 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 289 citations worldwide. Full citation record

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    ChiKhaPo is an 8-subtask benchmark that measures word-level comprehension and generation in 2,700+ languages and shows state-of-the-art models perform poorly on low-resource languages.

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