This research paper introduces an information-theoretic method to quantify the idiosyncrasies within the Mandarin Chinese classifier system. By analyzing the parsed Chinese Gigaword corpus, the study computes the mutual information between classifier choices and semantic information of nouns. The findings indicate that while the system is not entirely idiosyncratic, semantic classes like shape nouns significantly reduce uncertainty in classifier selection. AI
RANK_REASON Academic paper on linguistic analysis using statistical methods. [lever_c_demoted from research: ic=1 ai=0.4]
- Adams and Conklin
- arXiv
- Chinese Gigaword corpus
- Erbaugh
- graffiti
- Lakoff
- Ryan Cotterell
- Standard Chinese
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