Quantifying syntax similarity with a polynomial representation of dependency trees

IF 0.2 Q4 LINGUISTICS
Peng Liu, Tinghao Feng, Rui Liu
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引用次数: 1

Abstract

We introduce a graph polynomial that distinguishes tree structures to represent dependency grammar and a measure based on the polynomial representation to quantify syntax similarity. The polynomial encodes accurate and comprehensive information about the dependency structure and dependency relations of words in a sentence, which enables in-depth analysis of dependency trees with data analysis tools. We apply the polynomial-based methods to analyze sentences in the ParallelUniversal Dependencies treebanks. Specifically, we compare the syntax of sentences and their translations in different languages, and we perform a syntactic typology study of available languages in the Parallel Universal Dependencies treebanks. We also demonstrate and discuss the potential of the methods in measuring syntax diversity of corpora.
用依赖树的多项式表示量化语法相似度
我们引入了区分树结构的图多项式来表示依赖语法,并引入了基于多项式表示的度量来量化语法相似度。该多项式编码了一个句子中单词的依赖结构和依赖关系的准确而全面的信息,可以使用数据分析工具对依赖树进行深入分析。我们应用基于多项式的方法来分析并行通用依赖树库中的句子。具体来说,我们比较了不同语言的句子及其翻译的语法,并对Parallel Universal Dependencies树库中的可用语言进行了句法类型学研究。我们还展示和讨论了这些方法在测量语料库句法多样性方面的潜力。
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来源期刊
Glottometrics
Glottometrics LINGUISTICS-
CiteScore
0.50
自引率
0.00%
发文量
0
期刊介绍: The aim of Glottometrics is quantification, measurement and mathematical modeling of any kind of language phenomena. We invite contributions on probabilistic or other mathematical models (e.g. graph theoretic or optimization approaches) which enable to establish language laws that can be validated by testing statistical hypotheses.
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