Pegi1727/DIINA-Y

Official implementation of the DIINA model for Afrikaans negation `# DIINA-Y: Yorùbá Tonal Disambiguation` `Official implementation of the DIINA-Y model for Yorùbá Tonal Disambiguation using Dynamic Inhibitory Regulators (DIR).` # DIINA-Y: Tonal Language NLP Framework for Yoruba language disambiguation using Inhibitory Control. Author: Dr. Pegah Merrikhi markdown --- ## Research Abstract ‌ **Title:** DIINA-Y: A Neuro-Inhibitory Computational Framework for Tonal Disambiguation in Low-Resource Yorùbá Corpus ‌ **Abstract:** The disambiguation of tonal variations in Yorùbá remains a formidable challenge for contemporary Neural Machine Translation (NMT) and Natural Language Understanding (NLU) systems. This paper introduces **DIINA-Y** (Dynamic Inhibition-Inspired Neural Architecture for Yorùbá), a novel computational architecture predicated on the principle of **Inhibitory Control Mechanisms**. ‌ Unlike traditional attention-based models, DIINA-Y employs a **Dynamic Inhibitory Regulator (DIR)** module that actively suppresses contextually incongruent semantic candidates. Our methodology effectively mitigates 'tonal noise' by simulating selective suppression of sub-phonemic conflicts. Preliminary evaluations demonstrate a statistically significant improvement in resolving homographic ambiguities compared to baseline Transformer architectures. ```markdown ‌ --- ### Methodology: The Dynamic Inhibitory Regulator (DIR) ‌ The core innovation of DIINA-Y lies in its non-linear inhibitory gating mechanism. While standard Transformer models utilize excitatory attention to prioritize features, DIINA-Y introduces a secondary Inhibitory Hidden Layer. ‌ Feature Extraction: Input Yorùbá tokens are embedded into a d-dimensional vector space. Inhibitory Gating: The inhibitory signal (G_{inh}) is calculated as: G_{inh} = \sigma(W_{inh} \cdot H_{t} + b_{inh}) (Where \sigma is the sigmoid activation function and H_{t} is the hidden state). Contrastive Suppression: The final output is computed by: H_{final} = H_{t} \odot (1 - G_{inh}) ‌ This operation e …