low-resource-nlp

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Tangut Word Segmentation under Extreme Resource Scarcity: Integrating Traditional Lexicons and Unlabeled Text

arXiv cs.CL · 2d ago Cached

This paper presents the first systematic study of word segmentation for the extinct Tangut language, combining traditional lexicons, unlabeled text, and a pretrained character encoder to achieve high performance despite extreme resource scarcity.

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TRACE-BN: Transferring Bangla-English Tutoring Behavior to a Sub-1B Offline Language Model

arXiv cs.CL · 4d ago Cached

TRACE-BN introduces a curriculum-guided dataset for structured Bangla-English tutoring and demonstrates transferring this behavior to a sub-1B language model using LoRA, achieving significant improvements in tutoring quality for resource-constrained offline environments.

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Echoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-Nung

arXiv cs.CL · 2026-07-10 Cached

Introduces CKTN, the first multilingual corpus and benchmark for Cham, Khmer, and Tay-Nung languages, addressing fragmentation in multilingual encoders with a script-aware adaptation recipe.

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Open but Incompatible: A License Compatibility Analysis of Corpora for Low-Resource African Languages

arXiv cs.CL · 2026-06-30 Cached

This paper audits license provenance of over twenty African NLP corpus families, identifies compatibility failures like the JW300 violation and hidden NoDerivs clauses, and provides a due diligence checklist for legally clean dataset creation.

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Sample-Size Scaling of the African Languages NLI Evaluation

arXiv cs.CL · 2026-06-03 Cached

This paper examines the effect of labeled data size on natural language inference performance for 16 African languages using the AfriXNLI benchmark. The results show that scaling behavior is language-sensitive and often non-monotonic, challenging the common assumption of monotonic improvement, and emphasizing the need for language-specific dataset creation and stronger multilingual strategies.

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