An Account of Iranian EFL Pronunciation Errors through L1 Transfer

In light of the fact that L2 pronunciation errors are often caused by the transfer of well-established L1 sound systems, this paper examines some of the outstanding phonological differences between Persian and English. Comparing segmental and supra-segmental aspects of both languages, this study also discusses several problematic areas of pronunciation facing Iranian learners of English. To reach such a goal, thirty EFL learners were randomly selected from three levels of beginning, intermediate, and advanced students enrolled for the Fall term in 2008 in one of the private institutes in Shiraz. Their pronunciations of a list of 40 words and 8 sentences were analyzed through read-aloud task followed by an interview. The words have been recorded though a computer-based files adjusted for voice. The result of the data analysis indicated that our EFL learners at three levels confront considerable problems in areas that are absent in their mother tongue or converged into one item which is technically termed as coalescence. In order to compensate for the difficulties encountered by our EFL learners, we as teachers should integrate pronunciation teaching in our classroom syllabi so that they will become conscious of the differences in the sound system of the two languages. In this way, the Persian learners of English will be helped to become proficient speakers of English with rare or no residue of foreign accent in the pronunciation of target words, phrases, or sentences, thereby leading to more intelligibility of their utterances t-� &au�n�35232 16 0 262145 0;} @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-1610611985 1107304683 0 0 159 0;} @font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-1610611985 1073750139 0 0 159 0;} @font-face {font-family:"TITUS Cyberbit Basic"; panose-1:2 2 6 3 5 4 5 2 3 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-452939777 -804291461 30 0 511 0;} @font-face {font-family:"@SimSun"; panose-1:2 1 6 0 3 1 1 1 1 1; mso-font-charset:134; mso-generic-font-family:auto; mso-font-pitch:variable; mso-font-signature:3 135135232 16 0 262145 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; text-align:justify; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:SimSun; mso-ansi-language:ES; mso-fareast-language:ES;} .MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:10.0pt; mso-ansi-font-size:10.0pt; mso-bidi-font-size:10.0pt;} @page WordSection1 {size:612.0pt 792.0pt; margin:72.0pt 72.0pt 72.0pt 72.0pt; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;} div.WordSection1 {page:WordSection1;} --> Raven Progressive Matrices (RPMs) and Wechsler Intelligence Scale for Children (WSIC-R) are two common general intelligence measuring scales used in Iranian high schools. In this paper the relationships between g factor scales and students’ reading comprehension, grammar, and vocabulary was examined by correlation and regression analysis. Standard tests of grammar and vocabulary and Cambridge Key English Test (KET) were used to elicit the overall language proficiency of Iranian high school students. The results of the study revealed that verbal intelligence and vocabulary and non-verbal intelligence measured by RPMs not WSIC-R were determining factors in reading comprehension. Verbal intelligence was found to have an important role in vocabulary knowledge. Only grammar, in spite of a weak correlation with reading and a section of WSIC-R, didn’t show any remarkable correlation with intelligence or language knowledge measuring scales.