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- W2018996801 abstract "The increasing availability and performance of computer-based testing has prompted more research on the automatic assessment of language and speaking proficiency. In this investigation, we evaluated the feasibility of using an off-the-shelf speech-recognition system for scoring speaking prompts from the LanguEdge field test of 2002. We first established the level of agreement between two trained scorers. We then adapted a speech engine to the language backgrounds and proficiency ranges of the speakers and developed a classification and regression tree (CART) for each of five prompts based on features computed from the output of the speech recognizer. In a validation on held-out data, we found that while our features are not sufficiently comprehensive to adequately score these prompts, collectively these features appear to capture reliably some aspects of speaking proficiency." @default.
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- W2018996801 date "2007-06-01" @default.
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- W2018996801 title "TOWARD AN UNDERSTANDING OF THE ROLE OF SPEECH RECOGNITION IN NONNATIVE SPEECH ASSESSMENT" @default.
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- W2018996801 doi "https://doi.org/10.1002/j.2333-8504.2007.tb02044.x" @default.
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