Most of the current automated essay scoring (AES) systems are trained using manually graded essays from a specific prompt. These systems experience a drop in accuracy when used to grade an essay from a different prompt. Obtaining a large number of manually graded essays each time a new prompt is introduced is costly and not viable. We propose domain adaptation as a solution to adapt an AES syst...

In this article, an automated system is proposed for essay scoring in Arabic language for online exams based on stemming techniques and Levenshtein edit operations. An online exam has been developed on the proposed mechanisms, exploiting the capabilities of light and heavy stemming. The implemented online grading system has shown to be an efficient tool for automated scoring of essay questions.

We describe our submissions to the WMT11 shared MT evaluation task: MTeRater and MTeRater-Plus. Both are machine-learned metrics that use features from e-rater R ©, an automated essay scoring engine designed to assess writing proficiency. Despite using only features from e-rater and without comparing to translations, MTeRater achieves a sentencelevel correlation with human rankings equivalent t...

This report presents the findings of a research project funded by and carried out under the auspices of the Graduate Record Examinations Board Researchers are encouraged to express freely their professional judgment. Therefore, points of view or opinions stated in Graduate Record Examinations Board Reports do not necessarily represent official Graduate Record Examinations Board position or poli...

With the innovation of computer technology and the application of the new network technology, many auxiliary network teaching and learning software and programs related to English teaching has emerged. Automated essay scoring system is a revolutionary innovation network system, in recent years, it makes the reform of English essay teaching mode more feasible. Basing on the network automated ess...

Writing has been increasingly regarded by the testers of language tests as an important indicator to assess the language skill of testees. As such tests become more and more popular and the number of testees becomes larger, it is a huge task to score so many essays by raters. So far, many methods have been used to solve this problem and the traditional method is Latent Semantic Analysis (LSA). ...

The purpose of the current study was to analyze the relationship between automated essay scoring (AES) and human scoring in order to determine the validity and usefulness of AES for large-scale placement tests. Specifically, a correlational research design was used to examine the correlations between AES performance and human raters’ performance. Spearman rank correlation coefficient tests were...

The e-rater system 1 , an automated essay scoring system, developed at Educational Testing Service (ETS), is currently being used to score essay responses on the Graduate Management Admissions Test (GMAT). The average agreement between human readers, and between independent human readers and e-rater is approximately 92%. There is much interest in the larger writing community in examining the sy...

Neural approaches to automated essay scoring have recently shown state-of-theart performance. The automated essay scoring task typically involves a broad notion of writing quality that encompasses content, grammar, organization, and conventions. This differs from the short answer content scoring task, which focuses on content accuracy. The inputs to neural essay scoring models – ngrams and embe...