Building Video Concordancer Supported English Online Learning Exemplification
Chih-Hsiung Fu8
, Kun-Te Wang8
, Shu-Chen Cheng9
and Ting-Wei Hou8 
| (8) |
Department of Engineering Science, National Cheng Kung University, Taiwan |
| (9) |
Department of Computer Science and Information Engineering, Southern Taiwan University, |
Abstract
Language acquisition is by the process of the human interaction and the context developed in a language. For English-as-Foreign-Language
(EFL) students, language presentation must give attention to the roles played by sound, gesture and context in the process
of genuine communication in order to understanding the meaning of the language. Using video clips from contemporary films
and videos is an alternative approach for students to support their acquisition of the learning language in a real world context.
In this study, an innovative learning-assisted system is proposed, named the Video Concordancer, which uses a word-stem algorithm
to retrieve specific words and their families from a multimedia corpus, as well as subsequently utilize the mutual information
approach to analyze word collocations to appropriately present the use of words with several of the video contexts. This multimedia-based
aid enables students in Internet-based English learning settings to find engaging, authentic examples of multilingual language
in use, giving students the opportunities to strengthen their language skills in a culturally relevant way.
Keywords Video Concordancer - English-as-Foreign-Language - multimedia corpus - word collocation
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