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Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information
Current automated speaking assessment (ASA) systems for use in multi-aspect evaluations often fail to make full use of content relevance, overlooking image or exemplar cues, and employ superficial grammar analysis that lacks detailed error types. This paper ameliorates these deficiencies by introduc
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