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Neural focuses on the automatic transliteration of Unicode cuneiform glyphs, specifically designed for Akkadian texts. It employs advanced natural language processing techniques, utilizing Hidden Markov Models (HMM), Maximum Entropy Markov Models (MEMM), and BiLSTM neural networks to accurately determine sign-readings and segmentations.