{"title":"爱资哈尔大学印尼学生阿拉伯语对话中的代码混合","authors":"Arikah Husnah, Hisyam Zaini","doi":"10.32332/ijalt.v4i02.5724","DOIUrl":null,"url":null,"abstract":"The purpose of this research is to determine the form of code mixing used in WhatsApp group conversations among Indonesian students at Al-Azhar University Egypt and the factors causing code mixing in their conversations. This research is literary research using qualitative approach. The data obtained are analyzed using sociolinguistic theories, especially code-mixing. The objects of this research consist of words and sentences found in the conversations. The data, words and sentences, are taken from WhatsApp group named Sufara-Indonesia. In order to get data, researcher utilized documentation method, in which data are collected from WhatsApp conversation, followed by note-taking techniques. The results of the research are mixed language found in 40 sentences. Among the data, 32 are in the form of word, and 5 are in the form of phrases, 3 are clauses. This research also found that among factors influencing code-mixing are their habit of using their mother tongue, Indonesian language, and their intimacy for they live in the same place far from their home land.","PeriodicalId":267257,"journal":{"name":"International Journal of Arabic Language Teaching","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Code mixing in Arabic Conversation among Indonesian Students of Al-Azhar University\",\"authors\":\"Arikah Husnah, Hisyam Zaini\",\"doi\":\"10.32332/ijalt.v4i02.5724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this research is to determine the form of code mixing used in WhatsApp group conversations among Indonesian students at Al-Azhar University Egypt and the factors causing code mixing in their conversations. This research is literary research using qualitative approach. The data obtained are analyzed using sociolinguistic theories, especially code-mixing. The objects of this research consist of words and sentences found in the conversations. The data, words and sentences, are taken from WhatsApp group named Sufara-Indonesia. In order to get data, researcher utilized documentation method, in which data are collected from WhatsApp conversation, followed by note-taking techniques. The results of the research are mixed language found in 40 sentences. Among the data, 32 are in the form of word, and 5 are in the form of phrases, 3 are clauses. This research also found that among factors influencing code-mixing are their habit of using their mother tongue, Indonesian language, and their intimacy for they live in the same place far from their home land.\",\"PeriodicalId\":267257,\"journal\":{\"name\":\"International Journal of Arabic Language Teaching\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Arabic Language Teaching\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32332/ijalt.v4i02.5724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Arabic Language Teaching","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32332/ijalt.v4i02.5724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Code mixing in Arabic Conversation among Indonesian Students of Al-Azhar University
The purpose of this research is to determine the form of code mixing used in WhatsApp group conversations among Indonesian students at Al-Azhar University Egypt and the factors causing code mixing in their conversations. This research is literary research using qualitative approach. The data obtained are analyzed using sociolinguistic theories, especially code-mixing. The objects of this research consist of words and sentences found in the conversations. The data, words and sentences, are taken from WhatsApp group named Sufara-Indonesia. In order to get data, researcher utilized documentation method, in which data are collected from WhatsApp conversation, followed by note-taking techniques. The results of the research are mixed language found in 40 sentences. Among the data, 32 are in the form of word, and 5 are in the form of phrases, 3 are clauses. This research also found that among factors influencing code-mixing are their habit of using their mother tongue, Indonesian language, and their intimacy for they live in the same place far from their home land.