Outline of a Linguistic Model for the Study of Emerging Naming

Agata Jackiewicz
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引用次数: 0

Abstract

The article presents the outline of a linguistic model that is part of a methodology for identifying and analyzing emerging or referentially unstable namings, such as cultural appropriation, street harassment, climate refugee or ecocide. The model and the method are intended to guide the interpretation – manual or semi-automatic – of the referential expressions, according to the semantic-cognitive type of the designated entity (human entity, social process, event, etc.), but also taking into account interdiscursive negotiations that affect the choice of terms and their uses. The proposed approach is original and is based on several guiding ideas: (1) take into account the complexity of the naming and the entanglement of his different facets which are categorization, meaning, performativity and valuation (desirability, preferences, social norms), (2) target the development phase of the naming (observe how speakers deal with the unstable): for this purpose, we will use the notion of identification between weak or identified entities and strong or reference entities, (3) report in an integrated way the referential elaboration of knowledge, the lexical and semantic elaboration of expressions, and the expression of intersubjective attitudes. The scientific framework combines three main disciplinary areas: automatic language processing (construction and representation of knowledge, reference), semantics (elaboration of meanings) and discourse analysis (interdiscursive elaboration of concepts and terms).
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新兴命名研究的语言学模型概述
这篇文章概述了一个语言模型,该模型是识别和分析新出现的或指代不稳定的现象的方法的一部分,如文化挪用、街头骚扰、气候难民或生态灭绝。该模型和方法旨在根据指定实体(人类实体、社会过程、事件等)的语义认知类型,指导对指称表达的手动或半自动解释,但也要考虑到影响术语选择及其使用的跨话语协商。所提出的方法是新颖的,基于几个指导思想:(1)考虑到命名的复杂性和他不同方面的纠缠,这些方面是分类、意义、表现力和价值(可取性、偏好、社会规范),(2)针对命名的发展阶段(观察说话者如何处理不稳定的事物):为此,我们将使用弱实体或已识别实体与强实体或参考实体之间的识别概念,(3)综合报道知识的参考阐述、表达的词汇和语义阐述以及主体间态度的表达。该科学框架结合了三个主要学科领域:自动语言处理(知识的构建和表示、参考)、语义(意义的阐述)和语篇分析(概念和术语的交叉阐述)。
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
0
审稿时长
19 weeks
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