Papers with MSA news genres

1 papers
Linear Semantic Segmentation for Low-Resource Spoken Dialects (2026.findings-acl)

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Challenge: Existing models for semantic segmentation are primarily developed and evaluated on high-resource written text, limiting their effectiveness on low-resourced conversational varieties.
Approach: They propose a multi-genre benchmark for semantic segmentation in Arabic, focusing on dialectal discourse.
Outcome: The proposed model outperforms baselines on dialectal non-news genres while performing well on high-resource written text.

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