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We have developed an English pronunciation learning system which estimates the intelligibility of students’ speech and ranks their errors from the viewpoint of improving their intelligibility. We have begun using this system in a CALL class at Kyoto University. We have evaluated system performance through the use of questionnaires and analysis of speech data logged in the server, and will present our findings in this paper.
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Stored only when both papers are in the corpus — 47 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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