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Mandarin Chinese classifier system analyzed with information theory

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]

Read on arXiv cs.CL →

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Mandarin Chinese classifier system analyzed with information theory

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Academic paper on linguistic analysis using statistical methods. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell ·

    On the Idiosyncrasies of the Mandarin Chinese Classifier System

    arXiv:1902.10193v4 Announce Type: replace Abstract: While idiosyncrasies of the Chinese classifier system have been a richly studied topic among linguists (Adams and Conklin, 1973; Erbaugh, 1986; Lakoff, 1986), not much work has been done to quantify them with statistical methods…