This paper examines cross-lingual and cross-cultural variations in disability discourse on social media, specifically on X (formerly Twitter). Despite the growing presence of disability-related ...

It further finds the correlation between the language with similar roots. Our study shows 2-3 percentage points performance degradation in sentiment classification due to polarity shift as a result of ...

This is the codebase of "Cross-lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models", including metadata, code of layer-wise analysis, PEFT fine-tuning, model results and logs.