DocumentCode :
498841
Title :
Designing a primary science education support system based on Super Function
Author :
Konishi, Yusuke ; Li, Rui-fan ; Ren, Fu-ji
Author_Institution :
Sch. of Comput. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2409
Lastpage :
2413
Abstract :
In this paper, a new method for constructing a primary science education support system based on super function is presented. And the outline of an experimental system based on the proposed method is described. In this system, the input sentence is analyzed and the science problem statements are generated automatically using super function from the field of machine translation. The system can give more interesting problems and answers so that students can immerse themselves in a more pleased learning environment. Moreover, speech recognition and voice synthesis are embedded to be used for the system interface.
Keywords :
educational administrative data processing; language translation; speech recognition; speech synthesis; machine translation; primary science education support system; speech recognition; super function; voice synthesis; Computer science; Computer science education; Conference management; Cybernetics; Displays; Machine learning; Natural languages; Speech recognition; Speech synthesis; Systems engineering education; Educational support system; Learning system; Natural language processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212191
Filename :
5212191
Link To Document :
بازگشت