Measure words are measurably different from sortal classifiers
Measure words are measurably different from sortal classifiers
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发表时间：
2023
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通讯作者：
Yamei Wang;Géraldine Walther
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作者：
Yamei Wang;Géraldine Walther
标称分类器根据明显的语义属性对名词进行分类。过去的研究长期以来一直在争论排序分类器（与固有语义名词特征有关）和人性化分类器（与数量有关）是否应视为相同的语法类别。建议的诊断测试依赖于功能和分布标准，通常根据通过启发获得的孤立示例句子进行评估。本文对这个长期存在的问题进行了系统的重新评估：使用来自489 MB依赖性依赖性单词语料库的981,076个名义短语，相应的提取的上下文单词嵌入中国BERT模型的嵌入，信息理论的相互信息的信息是，我们表明，我们可以从分配中分配分类的分类，并且可以分配概述的类别。人性和排序分类器。我们的研究还需要对分类器系统的类型学研究产生更广泛的影响。
Nominal classifiers categorize nouns based on salient semantic properties. Past studies have long debated whether sortal classifiers (related to intrinsic semantic noun features) and mensural classifiers (related to quantity) should be considered as the same grammatical category. Suggested diagnostic tests rely on functional and distributional criteria, typically evaluated in terms of isolated example sentences obtained through elicitation. This paper offers a systematic re-evaluation of this long-standing question: using 981,076 nominal phrases from a 489 MB dependency-parsed word corpus, corresponding extracted contextual word embeddings from a Chinese BERT model, and information-theoretic measures of mutual information, we show that mensural classifiers can be distributionally and functionally distinguished from sortal classifiers justifying the existence of distinct syntactic categories for mensural and sortal classifiers. Our study also entails broader implications for the typological study of classifier systems.