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

Abstract

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.

Keywords: Speech errors, analyze, Data collection, Recordings, Percentage

DOI: 10.7176/JEP/11-24-07

Publication date:August 31^st 2020