Experimental length-aware seq2seq model for Arabic morphological correction. Pre-alpha research project.
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Updated
Jun 27, 2026
Experimental length-aware seq2seq model for Arabic morphological correction. Pre-alpha research project.
Exploratory research on how root-scatter affects neural language model performance in Semitic morphology (Arabic, Hebrew, Amharic).
Hybrid neural/symbolic router that uses the Scattering Degree to route Semitic words between a neural model and a symbolic morphological engine.
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