A Hybrid Approach to Automated Rating of Foreign Language Proficiency Using Oral Test Responses



This study was conducted to improve the automatic rating of oral test responses collected through Language Testing International’s (LTI) Oral Proficiency Interviews using a Computer (OPIc). In OPIc tests, a computer automatically asks questions from the candidate and the responses of the candidate are recorded and consequently rated. This study has been performed on English OPIc tests. Although, no specific knowledge of the English language has been used for this phase of research and the results may be readily extended to tests in other languages. Preliminary results are quite promising, considering the utilization of the crude Verbosity feature.


Language Model Rating Level Human Rating Speech Recognizer Prompt Response 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The author would like to thank the Center for Language Studies at the Brigham Young University, Language Testing International (LTI), and the American Council on the Teaching of Foreign Languages (ACTFL) for making this research possible.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Recognition Technologies, Inc.Yorktown HeightsUSA
  2. 2.Departments of Computer Science and Mechanical Engineering at Columbia UniversityRecognition Technologies, Inc.New YorkUSA

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