A Computer-Assisted Applied Corpus Analysis of Writing Errors Made by Senior Students of the English Language Department Faculty of Arts at Tanta University
| المصدر: | المجلة العلمية بكلية الآداب |
|---|---|
| الناشر: | جامعة طنطا - كلية الآداب |
| المؤلف الرئيسي: | Shalabi, Moustafa Mohammad (Author) |
| مؤلفين آخرين: | Negm, Mohammed Said (Co-Author) , Helmy, Hani Mohammed (Co-Author) |
| المجلد/العدد: | ع55 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2024
|
| الشهر: | أبريل |
| الصفحات: | 1032 - 1057 |
| ISSN: |
2735-3664 |
| رقم MD: | 1509006 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | AraBase |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Computer-Assisted Applied Corpus Analysis | Writing Errors | Interlanguage | Interalanguage | Language Transfer
|
| رابط المحتوى: |
عدد مرات التحميل
1
| المستخلص: |
The dissertation investigates writing errors among Senior Students in the English Language Department using computer-assisted corpus analysis. It aims to explore various types of errors in Lexical, Syntactic, Semantic, and Mechanical aspects. A mixed approach was used, using virtualwritingtutor.com to identify different categories of errors. The study aims to uncover prevalent errors in English writing and compare and evaluate errors based on gender (male and female). The Ant Concordance Tool software was used to identify common sources and causes of errors. A quantitative analysis was conducted using SPSS with a sample size of 494 participants. Results showed that male students exhibited significantly fewer errors in syntactic, lexical, and semantic aspects, but not in mechanical aspects. The study highlights the importance of understanding and addressing writing errors among senior students in the English Language Department. |
|---|---|
| ISSN: |
2735-3664 |
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