Papers by Benjamin Rosman

2 papers
The Zeno’s Paradox of ‘Low-Resource’ Languages (2024.emnlp-main)

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Challenge: 'low resource' languages are understudied by the NLP community, while 'high resource' is referred to as 'achieved', while high-resource languages are referred .
Approach: They qualitatively analyzed 150 papers from the ACL Anthology and popular speech-processing conferences that mention the keyword ‘low-resource.
Outcome: The proposed analysis reveals that several interacting axes contribute to ‘low-resourceness’ of a language and why that makes it difficult to track progress for each individual language.
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages (2025.acl-long)

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Challenge: Esethu Framework is a community-centric data license that empowers local communities and ensures equitable benefit-sharing from their linguistic resource.
Approach: They propose a community-centric data license to empower local communities and ensure equitable benefit-sharing from their linguistic resource.
Outcome: The proposed dataset contains read speech from native isiXhosa speakers enriched with demographic and linguistic metadata.

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