DocumentCode
627340
Title
Automated Bangla essay scoring system: ABESS
Author
Islam, Md Minarul ; Hoque, A.S.M.L.
Author_Institution
Dept. of CSE, Mymensingh Eng. Coll., Mymensingh, Bangladesh
fYear
2013
fDate
17-18 May 2013
Firstpage
1
Lastpage
5
Abstract
Essays are the most useful tool to assess learning outcomes. However, teachers have not enough time to evaluate a student´s writing properly because of their other assigned responsibilities. Several Automated Essay Grading (AEG) systems have been developed to evaluate the human written (not hand written) essays easily. But, most of the AEG systems are used for grading English language or essays written in pure European languages. We have developed an Automated Bangla Essay Scoring System (ABESS) using Generalized Latent Semantic Analysis (GLSA). GLSA is an improved information retrieval technique. The ABESS has been evaluated using essay sets for two domains: standard Bangla essays titled “Bangladesher Shadhinota Songram ()”, and “Karigori Shiksha ()”. We have gained a higher level of accuracy as compared to human grader.
Keywords
computer aided instruction; information retrieval; natural language processing; teaching; ABESS; AEG; Bangladesher shadhinota songram; English language; European languages; GLSA; automated Bangla essay scoring system; automated essay grading systems; generalized latent semantic analysis; information retrieval technique; karigori shiksha; learning outcomes; teachers; Accuracy; Indexes; Information retrieval; Matrix decomposition; Semantics; Training; Vectors; Automated Bangla Essay Scoring System; Automated Essay Grading; Latent Semantic Analysis; N-grams; Singular Value Decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4799-0397-9
Type
conf
DOI
10.1109/ICIEV.2013.6572694
Filename
6572694
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