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CNN-LSTM Hybrid Architecture for Thanglish-to-Tamil : Bridging 26 Letters to 247 Characters
Feb 17, 2026

CNN-LSTM Hybrid Architecture for Thanglish-to-Tamil : Bridging 26 Letters to 247 Characters

Built a CNN-LSTM hybrid architecture for Thanglish-to-Tamil transliteration that outperforms BiGRU+Attention while being 16x smaller—proving that 1D convolutions can efficiently capture local n-gram patterns for character-level sequence tasks. Sometimes the simplest architecture wins when it aligns with the problem's inherent structure 🚀

Feb 17, 20265 min read0 reactions0 comments