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92 achieves higher grading accuracy this system

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achieves higher gradingaccuracy. This system providesspelling error feedback andgrammatical error feedback tothe students. This systemimproves the accuracy ofscoring when compared toother system.(Describe theresearch/current solution)Evaluation CriteriaHow this research/currentsolution is valuable for yourprojectWhat is the Future workthat set by the author inConclusion and Future worksection(Yang et al., 2019) proposedAGCE (Automated Grader forThe solution provides anacceptable range of accuracy inThe research and the proposedmethod are used to93
Chinese Essay) system toautomatically grade essaywritten in Chinese languageand to provide constructivefeedback to the students. Theyoffer a solution to the problemby combining shallow anddeep semantic analysis of theessay. The system reduces theerror rate by 5% whencompared with the othersolution. AGCE systemachieves higher gradingaccuracy. This systemprovides spelling errorfeedback and grammaticalerror feedback to the students.This system improves thegrading Chinese essay whichare written by school studentsand provides constructivefeedback to the students. Thesystem reduces the error rate by5% when compared with theother solution. AGCE systemachieves higher gradingaccuracy. This system providesspelling error feedback andgrammatical error feedback tothe students. This systemimproves the accuracy ofscoring when compared toother system.automatically assess essay thatare written in Chineselanguage. Automated EssayEvaluation evaluates essay andalso provides feedback tothose writing which canimprove student’s writing.AGCE (Automated Grader forChinese Essay) canautomatically grade essaywritten in Chinese languageand provides instant feedback.Feedback helps to improvestudent’s writing skill.The research is very useful inmy project as I am also doingsimilar project to assessstudents writing automatically.94
accuracy of scoring whencompared to other system. Inthe future, the author wants tofurther investigate andperform some research ofsome semantic attributes andconstructive feedback toimprove the accuracy andperformance of the system.The proposed algorithm can beuseful for my project toautomatically mark student’spaper because I can also usesimilar technique and proposemy technique. This researchcan be taken as reference and Ican apply this system in myresearch as well.In the future, the author wantsto further investigate andperform some research ofsome semantic attributes andconstructive feedback toimprove the accuracy andperformance of the system.Diagram/Flowchart95
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Reference in APA format that will be in 'Reference List'(This give the Reference of theJournal Paper that the author selected and improve it(State of art of his work))HAO, S., XU, Y., KE, D., SU, K., & PENG, H. (2014). SCESS: a WFSA-based automatedsimplified chinese essay scoring system with incremental latent semantic analysis.NaturalLanguage Engineering,22(2), 291–319.

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Machine Learning, Automatic summarization

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