الفهرس 
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Abstract
The present dissertation is conducted to investigate writing errors using a computer-assisted corpus analysis, made by Senior Students of the English Language Department. It attempts to fulfil the objectives of the study: explore the focuses of Lexical, Syntactic, Semantic, and Mechanical errors. The study utilized a mixed approach to data collection and analysis. The researcher resorted to a website called “virtualwritingtutor.com” to detect categories of writing errors. The primary motivation behind this dissertation is to reveal the common errors made by the target students in their English writing using a computer assisted corpus analysis. The subsequent goal is to think and compare about the sorts of errors in their writing, as per gender (male, female). The third objective is to find the most common recognized sources and the causes of these errors utilizing the Ant Concordance Tool software to discover common errors in senior students’ writings. The quantitative statistics was examined utilizing the SPSS program. The sample is comprised of “494”. The findings revealed that there were 72 types of errors made in essay writings classified into four groups: lexical, syntactic, semantic, and mechanical errors. It revealed that male students made significantly fewer errors than female students in syntactic lexical and sematic errors. Nevertheless, the variance in errors among male and female students in mechanical errors was not significant. The quantitative findings support the notion that the most common types of errors are caused by language transfer and interlanguage features.