Reliable measures for aligning Japanese-English news articles and sentences
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Automatic linguistic knowledge acquisition for web-based translation and language learning
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Enhancing language learning and translation with ubiquitous applications
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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.