2025 COLING COLING 2025

Messages from the Quran and the Bible in Mandarin through Factor Analysis with Syntactic and Semantic Tags

Abstract

AbstractThis paper tries to decipher messages from the Quran and the Bible’s Mandarin translation using the multidimensional factor analysis (MDA) approach. Part-of-speech and word-meaning annotations were employed for data tagging. Seven syntactic and six semantic factors derived from the tagging systems demonstrated how the two scriptures are interpreted on the factor score scales. The analyses indicated that both holy books uphold a “persuade” and “preach” style with higher frequencies of imperative, advocative, and explanatory expressions. In addition, both favor the “interpersonal, non-numeric, and indicative” strategies to impress followers and practitioners alike with more elaborative wordings. The factor analysis approach also revealed that the Bible differs from the Quran by adopting more “motion, direction, and transportation” information, reflecting the deviation in their historical and religious backgrounds.

🌉 Interdisciplinary Bridge — Interdisciplinary and Mathematics & Optimization and Natural Language Processing
🧭 Keyword Pioneer — mandarin translation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Security & Privacy, Speech & Audio

Authors