Dependency Distances and Their Frequencies in Indo-European Language

IF 0.7 2区 文学 0 LANGUAGE & LINGUISTICS
Xinying Chen, Kim Gerdes
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引用次数: 1

Abstract

ABSTRACT The present study investigates the relationship between two features of dependencies, namely, dependency distances and dependency frequencies. The study is based on the analysis of a parallel dependency treebank that includes 10 Indo-European languages. Two corresponding random dependency treebanks are generated as baselines for comparison. After computing the values of dependency distances and their frequencies in these treebanks, for each lan-guage, we fit four functions, namely quadratic, exponent, logarithm, and power-law func-tions, to its original and random datasets. The preliminary result shows that there is a rela-tion between the two dependency features for all 10 Indo-European languages. The relation can be further formalized as a power-law function which can distinguish the observed data from randomly generated datasets.
印欧语言中的依赖距离及其频率
摘要本研究考察了依赖关系的两个特征,即依赖距离和依赖频率之间的关系。这项研究是基于对一个平行依赖树库的分析,该树库包括10种印欧语言。生成两个相应的随机依赖树库作为比较的基线。在计算了这些树库中依赖距离的值及其频率后,对于每种语言,我们将四个函数,即二次函数、指数函数、对数函数和幂律函数,拟合到其原始数据集和随机数据集。初步结果表明,所有10种印欧语言的两个依赖特征之间都存在相关性。该关系可以进一步形式化为幂律函数,该函数可以区分观察到的数据和随机生成的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.90
自引率
7.10%
发文量
7
期刊介绍: The Journal of Quantitative Linguistics is an international forum for the publication and discussion of research on the quantitative characteristics of language and text in an exact mathematical form. This approach, which is of growing interest, opens up important and exciting theoretical perspectives, as well as solutions for a wide range of practical problems such as machine learning or statistical parsing, by introducing into linguistics the methods and models of advanced scientific disciplines such as the natural sciences, economics, and psychology.
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