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Automated Assessment of Spoken Modern Standard Arabic Export

In Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications (June 2009), pp. 1-9.

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Proficiency testing is an important ingredient in successful language teaching. However, repeated testing for course placement, over the course of instruction or for certification can be time-consuming and costly. We present the design and validation of the Versant Arabic Test, a fully automated test of spoken Modern Standard Arabic, that evaluates test-takers' facility in listening and speaking. Experimental data shows the test to be highly reliable (testretest r=0.97) and to strongly predict performance on the ILR OPI (r=0.87), a standard interview test that assesses oral proficiency.


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