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In order to develop effective computerassisted language teaching systems for learners of English as a foreign language, it is first necessary to identify gaps between learners and native speakers in the four basic linguistic skills (reading, writing, pronunciation, and listening). To identify these gaps, the accuracy and fluency in language use between learners and native speakers should be compared using a learner corpus. However, previous corpora have not included all necessary types of linguistic data. Therefore, in this study, we aimed to design and build a new corpus comprising all types of linguistic data necessary for comparing accuracy and fluency in basic linguistic skills between learners and native speakers.

Application of a Corpus to Identify Gaps between English Learners and Native Speakers