{"title":"按成分分析原型:基于语料库的成文法解释普通含义方法","authors":"Jesse Egbert , Thomas R. Lee","doi":"10.1016/j.acorp.2023.100078","DOIUrl":null,"url":null,"abstract":"<div><p>When faced with a word or phrase that is not defined in a statute, judges generally interpret the language of the law as it is likely to be understood by an ordinary user of the language. However, there is little agreement about what ordinary meaning is and how it can be determined. Proponents of corpus-based legal interpretation argue that corpora provide scientific rigor and increased validity and transparency, but there is currently no consensus on best practices for legal corpus linguistics. Our objective in this paper is to propose some refinements to the theory of ordinary meaning and corpus-based methods of analyzing it. We argue that the scope of legal language is established by conceptual (<em>intensional</em>) meaning, and not limited to attested referents. Yet, most current corpus-based approaches are purely referential (<em>extensional</em>). Therefore, we introduce a new methodology—<em>prototype by component (PBC)</em> analysis<em>—</em>in which we bring together aspects of the componential approach and prototype theory by assuming that categories are gradient entities that are characterized by gradient semantic components. We introduce the analytical steps in PBC analysis and apply them to <em>Nix v. Hedden</em> (1893) to determine whether <em>tomato</em> is a member of the category vegetable. We conclude that conceptual categories have a prototypical reality and a componential reality. 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引用次数: 0
摘要
面对成文法中没有定义的单词或短语,法官通常会按照普通语言使用者的理解来解释法律语言。然而,对于什么是普通含义以及如何确定普通含义,人们的看法并不一致。基于语料库的法律解释的支持者认为,语料库提供了科学的严谨性,提高了有效性和透明度,但目前对法律语料库语言学的最佳实践还没有达成共识。我们在本文中的目标是对普通意义理论和基于语料库的分析方法提出一些改进建议。我们认为,法律语言的范围是由概念(内涵)意义确定的,而不局限于有据可查的所指。然而,目前大多数基于语料库的方法都是纯指代(外延)的。因此,我们引入了一种新的方法--原型成分(PBC)分析法,通过假设范畴是由梯度语义成分表征的梯度实体,将成分方法和原型理论的各个方面结合起来。我们介绍了 PBC 分析法的分析步骤,并将其应用于 Nix v. Hedden 案(1893 年),以确定番茄是否属于蔬菜类别。我们的结论是,概念范畴具有原型现实和成分现实。因此,语料库中的有据可查的指代可以让我们深入了解术语的概念含义以及概念在多大程度上是范畴的成员。
Prototype-by-component analysis: A corpus-based, intensional approach to ordinary meaning in statutory interpretation
When faced with a word or phrase that is not defined in a statute, judges generally interpret the language of the law as it is likely to be understood by an ordinary user of the language. However, there is little agreement about what ordinary meaning is and how it can be determined. Proponents of corpus-based legal interpretation argue that corpora provide scientific rigor and increased validity and transparency, but there is currently no consensus on best practices for legal corpus linguistics. Our objective in this paper is to propose some refinements to the theory of ordinary meaning and corpus-based methods of analyzing it. We argue that the scope of legal language is established by conceptual (intensional) meaning, and not limited to attested referents. Yet, most current corpus-based approaches are purely referential (extensional). Therefore, we introduce a new methodology—prototype by component (PBC) analysis—in which we bring together aspects of the componential approach and prototype theory by assuming that categories are gradient entities that are characterized by gradient semantic components. We introduce the analytical steps in PBC analysis and apply them to Nix v. Hedden (1893) to determine whether tomato is a member of the category vegetable. We conclude that conceptual categories have a prototypical reality and a componential reality. As a result, attested referents in a corpus can provide insights into the conceptual meaning of terms and the degree to which concepts are members of categories.