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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Winiwarter, W. (2008). WILLIE - A Web interface for a language learning and instruction environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4823 LNCS, pp. 300–311). https://doi.org/10.1007/978-3-540-78139-4_27
Mendeley helps you to discover research relevant for your work.