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语义因素预测实词的词汇替换率。

Semantic Factors Predict the Rate of Lexical Replacement of Content Words.

作者信息

Vejdemo Susanne, Hörberg Thomas

机构信息

Department of Linguistics, Stockholm University, Stockholm, Sweden.

出版信息

PLoS One. 2016 Jan 28;11(1):e0147924. doi: 10.1371/journal.pone.0147924. eCollection 2016.

Abstract

The rate of lexical replacement estimates the diachronic stability of word forms on the basis of how frequently a proto-language word is replaced or retained in its daughter languages. Lexical replacement rate has been shown to be highly related to word class and word frequency. In this paper, we argue that content words and function words behave differently with respect to lexical replacement rate, and we show that semantic factors predict the lexical replacement rate of content words. For the 167 content items in the Swadesh list, data was gathered on the features of lexical replacement rate, word class, frequency, age of acquisition, synonyms, arousal, imageability and average mutual information, either from published databases or gathered from corpora and lexica. A linear regression model shows that, in addition to frequency, synonyms, senses and imageability are significantly related to the lexical replacement rate of content words-in particular the number of synonyms that a word has. The model shows no differences in lexical replacement rate between word classes, and outperforms a model with word class and word frequency predictors only.

摘要

词汇替换率基于原始语言词汇在其衍生语言中被替换或保留的频率来估计词形的历时稳定性。词汇替换率已被证明与词类和词频高度相关。在本文中,我们认为实词和虚词在词汇替换率方面表现不同,并且我们表明语义因素可预测实词的词汇替换率。对于斯瓦迪士列表中的167个实词项目,我们从已发表的数据库或从语料库和词典中收集了有关词汇替换率、词类、频率、习得年龄、同义词、唤醒度、形象性和平均互信息等特征的数据。线性回归模型表明,除了频率之外,同义词、义项和形象性与实词的词汇替换率显著相关,尤其是一个词拥有的同义词数量。该模型显示词类之间在词汇替换率上没有差异,并且优于仅使用词类和词频预测变量的模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e0f/4731055/6be6c9fc04fd/pone.0147924.g001.jpg

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