Aspectual pairs: Prefix vs. suffix way of formation

IF 1.5 0 LANGUAGE & LINGUISTICS Russian Journal of Linguistics Pub Date : 2022-12-22 DOI:10.22363/2687-0088-27394
V. Solovyev, V. Bochkarev, V. Bayrasheva
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Abstract

In linguistic theory, there is no common point of view on the question of whether verbs in aspectual pairs are in inflectional or derivational relations. At the same time, the prefix and suffix methods of forming aspectual pairs are contrasted in this respect. The publications (e.g. Janda Lyashevskaya 2011) pointed out the need to develop new quantitative approaches to this aspect of the text corpus. We propose two new approaches that compare the quantitative characteristics of aspectual pairs of both types. One approach is based on the Google Books Ngram corpus and analyzes the dynamics of the frequency of the use of words in pairs. The aspectual pairs from the databases created by Janda and Lyashevskaya are considered. For a numerical assessment of the degree of proximity of the frequency graphs, the Pearson correlation coefficients were used. The second approach introduces a numerical characteristic of the semantic proximity of verbs in pairs using modern computer methods. Semantic proximity of verbs is calculated as a standard cosine measure between vectors representing the compatibility of the considered verbs in the corpus. Several computer models and text corpora are considered. Both proposed approaches did not reveal significant numerical differences in semantic proximity between verbs in aspectual pairs with prefix and suffix pairing. This is in good agreement with the results of an early study by Janda and Lyashevskaya (2011). Together with the results of this work, our research shows that the suffixal and affixal ways of forming aspectual pairs have an equal status in terms of their classification as inflectional or derivational.
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方面对:前缀和后缀的形成方式
在语言学理论中,对于动词的方面对是屈折关系还是派生关系,并没有统一的观点。同时,对构成方面对的前缀和后缀方法进行了对比。出版物(如Janda Lyashevskaya 2011)指出需要开发新的文本语料库方面的定量方法。我们提出了两种新的方法,比较两种类型的方面对的数量特征。一种方法是基于Google Books的Ngram语料库,并分析成对使用单词的频率动态。考虑了Janda和Lyashevskaya创建的数据库中的方面对。对于频率图的接近程度的数值评估,使用Pearson相关系数。第二种方法采用现代计算机方法,引入动词成对语义接近度的数值特征。动词的语义接近度作为表示语料库中考虑的动词的兼容性的向量之间的标准余弦度量来计算。考虑了几种计算机模型和文本语料库。这两种方法都没有发现动词在前缀和后缀配对的方面对中的语义接近程度有显著的数值差异。这与Janda和Lyashevskaya(2011)的早期研究结果非常吻合。结合本工作的结果,我们的研究表明,词尾和词缀形成方面对的方式在屈折或派生分类方面具有同等的地位。
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来源期刊
Russian Journal of Linguistics
Russian Journal of Linguistics Arts and Humanities-Language and Linguistics
CiteScore
3.00
自引率
33.30%
发文量
43
审稿时长
14 weeks
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