Quantifying Syntactic Complexity in Czech Texts: An Analysis of Mean Dependency Distance and Average Sentence Length Across Genres

IF 0.7 2区文学 0 LANGUAGE & LINGUISTICS

Journal of Quantitative Linguistics Pub Date : 2024-07-01 DOI:10.1080/09296174.2024.2370459

Xinying Chen, Miroslav Kubát

引用次数: 0

Abstract

This study investigates the syntactic complexity of various text-types in the Czech language by analysing the mean dependency distance (MDD), a measure that quantifies the average distance between ...

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量化捷克语文本中的句法复杂性：不同体裁的平均依存距离和平均句长分析

本研究通过分析平均依存距离（MDD）来研究捷克语中各种文本类型的句法复杂性，MDD是一种量化......

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

Journal of Quantitative Linguistics Multiple-

CiteScore

2.90

自引率

7.10%

发文量

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.