Abstract
In this paper we present WILLIE, a Web-based language learning tool for Japanese, which provides the language students with a comfortable interface to lexical, syntactic, and translation knowledge. The linguistic data is derived automatically from a large parallel corpus by using a Japanese-English machine translation system, which we developed in our previous research. The system randomly chooses translation examples to present them to the students using JavaScript to dynamically open pop-up windows with additional, clearly arranged color-coded information. WILLIE has been implemented in Amzi! Prolog, using the Amzi! Logic Server CGI Interface to develop the Web application.
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Winiwarter, W. (2008). WILLIE – A Web Interface for a Language Learning and Instruction Environment. In: Leung, H., Li, F., Lau, R., Li, Q. (eds) Advances in Web Based Learning – ICWL 2007. ICWL 2007. Lecture Notes in Computer Science, vol 4823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78139-4_27
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DOI: https://doi.org/10.1007/978-3-540-78139-4_27
Publisher Name: Springer, Berlin, Heidelberg
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