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The Efficacy of Legal Videos in enhancin(1)

Conclusion 
The DBR study not only justify the theoretical approaches to grammatical attention and 
linguistic acquisition but also shed light on refining the GALA program to use the 
progressive learning design for better grammatical accuracy and faster automaticity. 
References 
Anderson, J. (1976). Language, Memory and Thought. Hillsdale, NJ: Erlbaum Associates. 
Anderson, J. (1983). The Architecture of Cognition. Cambridge, MA: Harvard University 
Press. 
Ellis, R. (1994). The study of second language acquisition. Oxford: Oxford University 
Press. 
Krashen, S. (1985). The input hypothesis: Issues and implications. Oxford: Pergamon 
Press. Oxford: Pergamon Press. 
Liu, K-Y. & Chao, Y-C. J. (2012). The design of online grammar attention and language 
awareness system for EFL learners. Proceedings of the 15th International CALL Research 
Conference (pp. 450-454). Providence University, Taiwan. 
VanPatten, B. (1990). Attending to form and content in the input. Studies in second 
language acquisition, 12(3), 287-301. 
VanPatten, B., & Cadierno, T. (1993). Input processing and second language acquisition: 
A role for instruction. The Modern Language Journal, 77(1), 45-57. 


-85- 
2014 CALL Conference 
LINGUAPOLIS
www.antwerpcall.be 
Mei-Hua Chen*, Cheng-Te Chen**, Hsien-Chin Liou*** 
 
*Hua Fan University, Taipei, Taiwan 
**National Thing Hua University, Hsinchu City, Taiwan 
***Feng Chia University, Taichung, Taiwan 
chen.meihua@gmail.com, chengte@mx.nthu.edu.tw, hcliou@fcu.edu.tw 
Utilizing a Paraphrase Reference Tool to Facilitate Language 
Learners’ Formulaic Expression Use
 
Bio data 
Mei-Hua Chen
received the PhD degree in computer science from National Tsing Hua 
University, Taiwan in 2013. She is an assistant professor in the Department of Foreign 
Languages and Literature, Hua Fan University, Taiwan, R.O.C. She has been awarded a 
best paper award in the 15th International CALL Research Conference, 2012. Her 
research interests include Computer-Assisted Language Learning, Natural Language 
Processing and Learning Technology.

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