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USING CROWDSOURCING AND MACHINE LEARNING FOR AUTOMATIC EVALUATION OF SPOKEN ENGLISH
USING CROWDSOURCING AND MACHINE LEARNING FOR AUTOMATIC EVALUATION OF SPOKEN ENGLISH
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机译:使用众筹和机器学习对口语进行自动评估
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摘要
A method and system for constructive response grading for spoken language is disclosed. The method and system are computer implemented and involve a crowdsourcing step to derive evaluation features. The method includes steps for posting a speech test through an automated speech assessment tool, receiving candidate responses from candidates for the speech test; delivering the candidate responses to crowdsource volunteers; receiving crowdsourced responses from crowdsource volunteers, where the crowdsourced responses comprise a transcription of the speech test; deriving features from the transcription; and deriving a individual scores based on the features, where the individual scores are representative of pronunciation score, fluency score, content organization score and grammar score of the spoken language for each candidate.
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