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
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;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-0397-9
DOI :
10.1109/ICIEV.2013.6572694
