Automated essay evaluator
Date of Publication
2004
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Merlin Cruz
Defense Panel Member
Merin Cruz
Rachel Roxas
Lolita Villanueva-Reyes
Abstract/Summary
Evaluating essay portions of exams has always been labor-intensive for the teaching staff and human evaluators. To solve this problem, researches regarding automatic essay evaluation are ongoing, and practical implementation of such has risen just recently. This research presents Automated Essay Evaluator, a system that automates the evaluation of a large collection of essay-type documents using natural language processing (NLP) and Latent Semantic Analysis (LSA) technique. Rule-based natural language parsing is used for the grammar checking of the text while LSA is used to evaluate the content. Testing and evaluation were done to determine its performance in evaluating essays. Results show that the system is 85%-93% accurate in predicting the grammar grade, while it is 89%-98% accurate in predicting the content grade of essays.
Abstract Format
html
Language
English
Format
Accession Number
TU13691
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : ill. (some col.) ; 28 cm. + technical manual & user's guide.
Keywords
Natural language processing (Computer science); Artificial intelligence; Information retrieval; Essay--Evaluation--Computer programs
Recommended Citation
Escutin, M. M., Estioko, A. D., & Plaza, M. V. (2004). Automated essay evaluator. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/8516
