Arabic text linguistic parsing and evaluation for LLM data alignment
The individual focuses on continuous structural parsing (إعراب) and linguistic verification of advanced Arabic texts, which aligns with evaluating and validating language model training data. This work supports refining Arabic Large Language Models by assessing correctness of syntactic structure and logical consistency. The activities involve reviewing outputs and identifying linguistic errors to improve dataset quality and model alignment. • Structural parsing (إعراب) of classical/advanced Arabic sentences • Linguistic verification of grammar, morphology, and syntax (نحو وصرف) • Logical evaluation to find inconsistencies or errors • Quality-focused review to support annotation and alignment of Arabic LLM data