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Effectiveness of Fromkein Model for Analysis of Blend and Exchange Speech Errors in Urdu Language

机译:乌尔都语中混合和交换语音误差分析的效果

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The study aims to examine the speech errors made by the speakers of Urdu language. Paper also identifies the types and most frequently used errors in the Urdu language. Speaking is one of the major forms of language production. It involves the process of how a speaker translates information and intention in a given language. It is an active procedure of the human mind and strictly governed by phonological syntactic and semantic rules. Error analysis is defined as a way of identifying, organizing and systematically interrupting the improper forms produced by someone speaking the native language, using any of the principles and procedures provided by linguistics (Crystal, 2003). There exist tremendous difficulties in natural speeches uttered by the speakers unconsciously. Due to the trend of English medium in schools as we use English as our official language that’s why most of the students face problem while reading the Urdu language so when they switch their language into Urdu they commit so many errors. So to identify those errors which we commit while speaking the Urdu language. The method of the study includes 30 participants randomly selected from the undergraduate level. The data was collected through the audio recordings of the participants for the investigation of speech errors. Fromkein’s classification scheme has been used to analyze the errors and their frequencies in a speech. The result identified the specific type of speech error and their occurring frequencies in speech production. The results of the study identified the types of speech errors which committed most are blend and exchange error. Moreover, the findings of the study also checked the frequency of the errors committed in speech production.
机译:该研究旨在检查乌尔都语讲话者的讲话错误。纸张还标识了URDU语言中的类型和最常用的错误。说话是语言生产的主要形式之一。它涉及说话者如何将信息和意图以特定语言转换为过程。它是人类思想的积极程序,受到语音句法和语义规则的严格统治。错误分析被定义为使用语言学提供的任何原则和程序(Crystal,2003)所提供的任何原则和程序来识别,组织和系统地中断识别,组织和系统地中断不正确的表格。在不知不觉中,扬声器发出的自然演讲中存在巨大困难。由于我们使用英语作为我们的官方语言的英语媒体的趋势,这就是为什么大多数学生在阅读乌尔都语时面临问题的原因,所以当他们将他们的语言切换到URDU时,他们提交了很多错误。因此,要识别我们在演讲乌尔都语时提交的那些错误。该研究的方法包括从本科水平随机选择的30名参与者。通过参与者的录音来收集数据,用于调查语音错误。从威尔克斯本断的分类方案已被用于分析讲话中的错误及其频率。结果确定了语音生产中的特定类型的语音错误及其发生的频率。该研究的结果确定了最多的语音误差类型是混合和交换错误。此外,该研究的结果还检查了语音生产中犯下的错误的频率。

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