Struktur Topik-Komen dalam Lirik Lagu Shounen to Mahou no Robotto

Ilham Hijrah Mustaqim, Ypsi Soeria Soemantri, Puspa Mirani Kadir, Wagiati Wagiati
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Abstract

This study aims to describe the topic-comment structure in the discourse of the lyrics of the song Shounen to Mahou no Robotto. The method used in data collection is the free-to-talk method, while for the study of data, the method used is the distributional method. The data is taken from the discourse of the lyrics of the song Shounen to Mahou no Robotto. A distributional study method is used at the data analysis stage, which uses a determining tool for language elements. From the results of the research, most of the topics found in the form of subjects that were topicalized with the topic particle marker wa, but topics can also be stated by moving elements that are not subjected to the beginning of the sentence, even though the particle wa does not mark them. Topicalization can occur in single or compound sentences. In compound sentences, the same topic can be used in both clauses, or the two clauses can have different topics. This study found more topicalization data without wa particle markers than previous studies, indicating the characteristics of song lyrics data that used language more flexibly than written data sources.
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由上侯府无机械之歌歌词编舞
摘要本研究旨在探讨《寿恩对马侯没有机器人》这首歌歌词话语中的话题-评论结构。在数据收集中使用的方法是free- talk法,而在数据研究中使用的方法是distribution法。数据取自歌曲《寿嫩到马侯没有机器人》的歌词话语。在数据分析阶段使用分布研究方法,该方法使用确定语言元素的工具。从研究结果来看,大多数主题都是以主题的形式出现的,这些主题都是用主题粒子标记wa进行主题化的,但也可以用不受句子开头影响的移动元素来陈述主题,即使没有标记wa。话题化可以出现在单句或复合句中。在复合句中,两个分句可以使用相同的主题,或者两个分句可以有不同的主题。本研究发现,与以往研究相比,没有wa粒子标记的话题化数据更多,这表明歌词数据比书面数据源更灵活地使用语言的特征。
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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