Abstract
Automated Essay Grading (AEG) or scoring systems are not more a myth they are reality. These AI systems are blessings to the educational community where teachers normally face lots of problem while correcting studentspsila essays. Valuation of huge amount of student essays within stipulated time frame, with feed back is a real challenge. But today, the human written (not hand written) essays easily evaluated by AEG systems easily. The TOEFL exam is one of the best examples of this application. The studentspsila essays are evaluated both by human and automated essay grading system. Then the average is taken. AEG might provide precisely the platform we need to explicate many of the features those characterize good and bad writing and many of the linguistic, cognitive and other skills those underline the human capability for both reading and writing. They can also provide time-to-time feedback to the writers/students by using that the people can improve their writing skill. A meticulous research of last couple of years has helped us to understand the existing systems which are based on AI & Machine Learning techniques and finding the loopholes and at the end to propose a system, which will work under Indian context, presently for English language influenced by local languages. Currently most of the essay grading systems is used for grading pure English essays or essays written in pure European languages. In India we have almost 21 recognized languages and influence of these local languages, in English, is very much here. Due to the influence of local languages and English written by nonnative English speakers (ie. Indians) the result of TOEFL exams has shown lower scores against Indian students (also Asian students). This paper focuses on the existing automated essay grading systems, basic technologies behind them and proposes a new framework to over come the problems of influence of local Indian languages in English essays while correcting and by providing proper feedback to the writers.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
