俄乌战争新闻文本的语法内聚力分析

Dhea Syahzana Sahreebanu
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摘要

语法内聚是一项分析文本中每个单词、短语或句子如何连接的研究。研究人员开展这项研究的目的是确定语法内聚的类型,并了解这些类型在新闻文本中是如何发挥作用的。研究人员选择使用定性描述的方法来开展本研究。本研究的数据源是《雅加达邮报》于 2022 年 10 月 19 日(星期三)发布的在线新闻文本,标题为 "俄罗斯在高峰时段轰炸乌克兰各地城市,显然是为了报复"。为了研究该新闻文本,研究人员使用了 Cutting(2002 年)提出的语法内聚理论。经过分析,研究人员在新闻文本的三十三(33)个数据中发现了三十五(35)种语法内聚形式。在所有发现中,32(32)种是指代形式,其余三(3)种是省略类型。另一方面,在战争新闻文本中没有发现替换。最常使用的指代类型是拟人形式的内指代(13 个),其次是外指代(10 个)、关联内指代(7 个)和拟人形式的内指代(2 个)。从这些发现来看,每种语法内聚类型在新闻文本中都有其作用。参照类型是指文本中的参照点。与此同时,省略类型则是删除被认为不必要的单词或短语的工具。尽管如此,这两种语法连接类型都能避免词语重复。
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The Grammatical Cohesion Analysis of News Texts on The Russia-Ukraine War
Grammatical cohesion is research that analyzes how each word, phrase, or sentence is connected in a text. The researcher conducted this study to identify the types of grammatical cohesion and know how these types work in news texts. Researchers chose to use a qualitative descriptive approach in conducting this research. The data source in this study is an online news text published on Wednesday, 19 October 2022, by The Jakarta Post entitled "Russia Bombs Cities Across Ukraine at Rush Hour in Apparent Revenge Strikes." To examine the news text, researchers used the theory of grammatical cohesion developed by Cutting (2002). After conducting the analysis, the researcher found thirty-five (35) forms of grammatical cohesion out of the thirty-three (33) datums found in news texts. Of the total findings, thirty-two (32) are reference forms, and the remaining three (3) are ellipsis types. On the other hand, substitution is not found in the war news text. The type of reference most often used is the endophora in the form of anaphora (13), followed by exophora (10), associative endophora (7), and endophora in the form of cataphora (2). From these findings, each type of grammatical cohesion has its role in the news text. The reference type works as a tool to refer to a reference point in the text. Meanwhile, the ellipsis type works as a tool to remove words or phrases that are deemed unnecessary. Even so, both types of grammatical cohesion function to avoid word repetition.
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