Spoken Language Processing for DBCALL and English Speaking Assistants (音声)

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Although enormous investments have been made to develop English language education all over the world, not many changes have been made to the style of English language instruction. Keeping in mind the shortcomings of the current methodology of English teaching and learning, we have been investigating the use of advanced computer assisted language learning (CALL) systems. We have been working to develop a framework that educates students of the English language in pronunciation, prosody, and grammar. The students can then use this knowledge for developing their English speaking and writing skills. This paper summarizes a set of POSTECH approaches, including theories, technologies, systems, and field studies, and provides relevant pointers. Many errors and variations of speech are generated by non-native English speakers. Building on state of-the-art technology that uses spoken dialog systems, and assisted by the incorporation of sophisticated linguistic knowledge, a variety of adaptations have been applied to solve such problems. In addition, a number of methods have been developed for generating feedback to help students of English become more proficient. As an outcome of our efforts, we have created two intelligent educational robots named Mero and Engkey, and a virtual 3D language learning game named Pomy. To test the effectiveness of our approach on the communication skills of students, we conducted a field study at an elementary school in Korea. The results have shown that our CALL based approach can be an enjoyable and fruitful activity for students. Although the results of this study bring us a step closer to understanding computer based language education, more studies are needed to consolidate the findings of our approach.
2011-12-12

Spoken Language Processing for DBCALL and English Speaking Assistants (音声)

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