Title :
Mnemonic phrase generation using genetic algorithms and natural language processing
Author :
Mountstephens, James
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. Malaysia Sabah, Kota Kinabalu, Malaysia
Abstract :
Mnemonic phrases may help engineering students remember list information more easily. This paper describes the current progress of work to develop, implement and test two methods for the automatic generation of mnemonic phrases by computer. Techniques from artificial intelligence (AI) are drawn upon; more specifically from natural language processing (NLP) and genetic algorithms (GA). The first method approaches mnemonic phrase generation directly using NLP; the second approaches it as an optimisation problem to be solved by GA.
Keywords :
artificial intelligence; computer aided instruction; engineering education; genetic algorithms; natural language processing; NLP; artificial intelligence; automatic generation; engineering students; genetic algorithms; mnemonic phrase generation; natural language processing; optimisation problem; Conferences; Decision support systems; Education; genetic algorithms; learning; memory; mnemonics; natural language processing;
Conference_Titel :
Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on
Conference_Location :
Bali
DOI :
10.1109/TALE.2013.6654493