The Meaning Intelligence Framework raises zero-shot register classification accuracy from 33.3% to 73.3% on a 30-item Nigerian discourse calibration set while showing that smaller models can outperform larger ones on cultural competence.
Alberto Poncelas, Pintu Lohar, James Hadley, and Andy Way
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Multilingual models invert sentiment polarity 28.7% of the time on Bengali text and show asymmetric affective weighting plus a 57% rise in error on formal dialect compared with colloquial Bengali.
citing papers explorer
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The Register Gap: A Meaning Intelligence Framework for Nigerian Public Discourse
The Meaning Intelligence Framework raises zero-shot register classification accuracy from 33.3% to 73.3% on a 30-item Nigerian discourse calibration set while showing that smaller models can outperform larger ones on cultural competence.
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Cross-Lingual Sentiment Misalignment: Auditing Multilingual Language Models for Inversion Risk, Dialectal Representation, and Affective Stability
Multilingual models invert sentiment polarity 28.7% of the time on Bengali text and show asymmetric affective weighting plus a 57% rise in error on formal dialect compared with colloquial Bengali.