Manipulating the Difficulty of C-Tests
Published in Proceedings of the 57th Annual Meeting of the ACL, 2019
In this work, we propose two novel generation strategies for C-Tests, a type of gap filling exercises. In contrast to previous approaches, our strategies do not rely upon a static gap placement and size. This allows teachers to generate C-Tests of multiple difficulties from a single input text. In a user study, we show that both our proposed methods are capable successfully manipulating the C-Test difficulty.
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