A distributional assessment of rivalry in word formation

IF 0.7 0 LANGUAGE & LINGUISTICS
Matı́as Guzmán Naranjo, Olivier Bonami
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引用次数: 3

Abstract

We contrast two views of rivalry in word formation. Under the classical, categorical view, two processes are rivals if they are semantically equivalent. Under the more nuanced, gradient view, two processes can be rivals at different degrees, depending on how frequently they are amenable to be deployed as alternatives to one another. We propose to use methods from distributional semantics to explore the usefulness of both views. Building on data from French, we first show that distributional differences between average difference vectors capture semantic similarity across derivational processes in a manner comparable to the expectations of expert morphologists. We then propose an operational implementation of the classical view of rivalry based on computational classifiers: processes are rivals if and only if a classifier is unable to discriminate between them. Experimentation with French data shows that this operationalization correctly captures the broad brushes of rivalry, but also reveals finer, gradient aspects of competition in the spirit of gradient rivalry.
词语形成竞争的分布评价
我们对比了两种关于单词构成竞争的观点。在经典的范畴观点下,如果两个过程在语义上等价,那么它们就是竞争对手。在更微妙的梯度观点下,两个过程可以在不同程度上成为竞争对手,这取决于它们作为彼此替代品的部署频率。我们建议使用分布语义的方法来探索这两种观点的有用性。基于来自法语的数据,我们首先表明,平均差异向量之间的分布差异以与专业形态学家的期望相当的方式捕捉了衍生过程中的语义相似性。然后,我们提出了一种基于计算分类器的竞争经典观点的操作实现:当且仅当分类器无法区分进程时,进程才是竞争对手。对法国数据的实验表明,这种操作正确地捕捉到了竞争的全貌,但也以梯度竞争的精神揭示了竞争的更精细、梯度方面。
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
Word Structure
Word Structure LANGUAGE & LINGUISTICS-
CiteScore
1.60
自引率
0.00%
发文量
10
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