{"title":"Tindak Tutur Ekspresif dalam Tuturan Komentator E-Sports pada Turnamen PMCO Fall Split Global Finals 2019: Kajian Sosiopragmatik","authors":"Sigian Hardi, I. W. Pastika, Ni Made Dhanawaty","doi":"10.24843/stil.2022.v01.i02.p10","DOIUrl":null,"url":null,"abstract":"The task of a commentator is to provide comments related to the course of the match. In his speech, Indonesian commentators in the 2019 PMCO Fall Split Global Final tournament included natural speeches that contained pragmatic elements, namely expressive speech acts. In addition, in reviewing matches, commentators use a lot of special vocabulary as a characteristic of the E-sports branch to interpret the actions taken by the players during the match. This study aims to describe the form and function E-sports commentators in the 2019 PMCO Fall Split Global Final tournament and describe the special vocabulary used by E-sports commentators in the 2019 PMCO Fall Split Global Final tournament. This type of research is descriptive-qualitative, using sociopragmatic studies. The data sources of this research are E-sports commentators' utterances which are expressive and contain special forms of vocabulary. Data collection techniques using listening and note-taking techniques. Data analysis using contextual analysis methods. The results of this study are the findings of expressive speech acts in the E-Sports commentator's speech which are divided into ten peech functions, namely: thanking, disgust, justifying, hoping, praising, apologizing, congratulating, complaining, regretting, and insinuating. In addition, there were 58 data orms of special vocabulary classified into 4 forms, namely, singular, affixation, abbreviation/shortening, and compound. The vocabulary data is divided into two categories of meaning, namely the denotative meaning of 32 data and the connotative meaning of (26) data.","PeriodicalId":249067,"journal":{"name":"Stilistika : Journal of Indonesian Language and Literature","volume":"319 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stilistika : Journal of Indonesian Language and Literature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24843/stil.2022.v01.i02.p10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
解说员的任务是提供与比赛过程有关的评论。在他的演讲中,印度尼西亚评论员在2019年PMCO秋季赛全球总决赛中使用了包含实用主义元素的自然演讲,即表达性语言行为。此外,在回顾比赛时,解说员会使用大量的特殊词汇来解释选手在比赛中的动作,这是电子竞技分支的一个特点。本研究旨在描述2019 PMCO Fall Split全球总决赛中电子竞技解说的形式和功能,并描述2019 PMCO Fall Split全球总决赛中电子竞技解说使用的特殊词汇。这种类型的研究是描述性定性的,使用社会语用学研究。本研究的数据来源是电子竞技评论员的话语,这些话语具有表现力,包含特殊的词汇形式。使用听力和笔记技巧收集数据。使用上下文分析方法进行数据分析。本研究的结果是对电子竞技解说员言语表达行为的研究结果,将其分为10种言语功能,分别是:感谢、厌恶、辩解、希望、赞扬、道歉、祝贺、抱怨、后悔和暗示。此外,特殊词汇有58种数据形式,分为单数、词缀、缩写/缩短和复合4种形式。词汇数据分为两类意义,即32个数据的外延意义和26个数据的内蕴意义。
Tindak Tutur Ekspresif dalam Tuturan Komentator E-Sports pada Turnamen PMCO Fall Split Global Finals 2019: Kajian Sosiopragmatik
The task of a commentator is to provide comments related to the course of the match. In his speech, Indonesian commentators in the 2019 PMCO Fall Split Global Final tournament included natural speeches that contained pragmatic elements, namely expressive speech acts. In addition, in reviewing matches, commentators use a lot of special vocabulary as a characteristic of the E-sports branch to interpret the actions taken by the players during the match. This study aims to describe the form and function E-sports commentators in the 2019 PMCO Fall Split Global Final tournament and describe the special vocabulary used by E-sports commentators in the 2019 PMCO Fall Split Global Final tournament. This type of research is descriptive-qualitative, using sociopragmatic studies. The data sources of this research are E-sports commentators' utterances which are expressive and contain special forms of vocabulary. Data collection techniques using listening and note-taking techniques. Data analysis using contextual analysis methods. The results of this study are the findings of expressive speech acts in the E-Sports commentator's speech which are divided into ten peech functions, namely: thanking, disgust, justifying, hoping, praising, apologizing, congratulating, complaining, regretting, and insinuating. In addition, there were 58 data orms of special vocabulary classified into 4 forms, namely, singular, affixation, abbreviation/shortening, and compound. The vocabulary data is divided into two categories of meaning, namely the denotative meaning of 32 data and the connotative meaning of (26) data.