Typometrics: From Implicational to Quantitative Universals in Word Order Typology
Typometrics: From Implicational to Quantitative Universals in Word Order Typology
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DOI：
10.5334/gjgl.764
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发表时间：
2021-02
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影响因子：
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通讯作者：
Kim Gerdes;Sylvain Kahane;Xinying Chen
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作者：
Kim Gerdes;Sylvain Kahane;Xinying Chen
本文基于对通用依存关系项目的数据分析，提出了语序共性的概念，该项目提出了用相同的标注方案编码的90多种语言的树库。我们所处理的数据的性质允许我们提取丰富的细节来测试众所周知的类型隐含共性，并进一步探索我们称为数量共性的新类型的共性。我们展示了这种数量共性在本质上如何不同于隐含共性，包括统计共性，因为它们不再对范畴陈述提出任何主张，而是对连续参数提出要求，开辟了一个我们建议称为类型计量学的新研究领域。
This paper develops the concept of word order universals based on a data analysis of the Universal Dependencies project, which proposes treebanks of more than 90 languages encoded with the same annotation scheme. The nature of the data we work on allows us to extract rich details for testing well-known typological implicational universals and, further, explore new kinds of universals that we call quantitative universals. We show how such quantitative universals are in essence different from implicational universals, including statistical universals, by the fact that they no longer lay down any claims on categorical statements, but rather on continuous parameters, opening a new field of research we propose to call typometrics .