Over the last fifty years, as the field of automated essay evaluation has progressed, several ways have been offered. The three aspects of style, substance, and semantics are the primary focus of automated essay evaluation. The style and content attributes have received the most attention, while the semantics attribute has received less attention. A smaller fraction of the essay (window) is chosen to measure semantics, and the essay is broken into smaller portions using this window. The goal of this work is to determine an acceptable window size for measuring semantic coherence between different parts of the essay with more precision.
Essays are one of the most important method for assessing learning and intelligence of a student. Manual essay grading is a time consuming process for the evaluator, a solution to such problem is to make evaluation through computers. Many systems were proposed over past few decades. Each system works on different approach having focus on different attributes. Aim of this paper is to understand and analyze current essay grading systems and compare them primarily focusing on technique used, performance and focused attributes.
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