聚类分析在语言及物性模式识别中的应用

IF 0.3 Q4 LINGUISTICS
Linguamatica Pub Date : 2020-01-04 DOI:10.21814/lm.11.2.292
Marcus Lepesqueur, I. A. Reis
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引用次数: 0

摘要

本文提出了一种分层聚类技术,用于小句级及物性的语义和句法模式分析。从经验和基于使用的方法来看,这种方法被证明对研究说话者所接触的语言模式很有用,在理论范畴中也得到了类似的结果。在没有更换的简单抽样程序中,从23个口头访谈语料库中选择了690个口头单位。从9个及物性参数及其子句句法的角度分析了这些句子单元。目标是识别在这组特征上有相似之处的句子组。这些组揭示了句子的一种原概念意义,其中包括相关的方面和实际特征。结果显示了三个基本的微观叙事场景,小句表达的事件在这些场景上展开。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
O uso da análise de clusters na identificação de padrões de transitividade linguística
This paper aims to present a hierarchical clustering technique for the analysis of semantic and syntactic patterns of transitivity at clausal level. From an empirical and usage-based approach, this type of methodology has proved useful for the investigation of linguistic patterns to which speakers are exposed, reaching similar results found in theoretically categories. In a simple sampling procedure without replacement, 690 oral units were selected from a corpus of 23 oral interviews. These sentence units were analyzed in terms of nine transitivity parameters and their clausal syntax. The goal was to identify groups of sentences that share similarities in terms of this set of traits. The groups found reveal a kind of proto-conceptual meaning of the sentences, which includes correlated aspectual and actantial traits. The results show three basic micro-narrative scenarios on which the event expressed in clausal unfolds.
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来源期刊
Linguamatica
Linguamatica LINGUISTICS-
CiteScore
1.40
自引率
0.00%
发文量
4
审稿时长
6 weeks
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