DocumentCode :
2256119
Title :
Data mining model in analyzing portuguese studies as the second language acquisition
Author :
Chao, Sam ; Wong, Fai ; Martins, Custódio Cavaco
Author_Institution :
Fac. of Sci. & Technol., Univ. of Macau, Macau, China
Volume :
1
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
427
Lastpage :
432
Abstract :
Portuguese is specifically a difficult language with luxuriant tenses, and second language acquisition (SLA) is regarded as highly variable. Many (Chinese) students who learn Portuguese as their second language (L2) are hardly to gain a mastery of it. In this paper, we proposed to employ i+Learning method in building a data mining model to discover the regularities and factors that govern the acquisition process and learning quality of the students. The results reveal that knowledge generated through our model is able to explain the acquisition behavior in practice, which can benefit the subsequent linguistic analysis in SLA and can contribute to studies of Portuguese language acquisition.
Keywords :
data mining; learning (artificial intelligence); natural language processing; Portuguese language acquisition; Portuguese studies; data mining; learning method; second language acquisition; Analytical models; Classification algorithms; Data mining; Data models; Decision trees; Morphology; Pragmatics; Data mining; Decision trees; Natural language processing (NLP); Second language acquisition (SLA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5581025
Filename :
5581025
Link To Document :
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