Textual complexity as a predictor of difficulty of listening items in language proficiency tests.
Anastassia Loukina, Su‐Youn Yoon, Jennifer Sakano, Youhua Wei, Kathy Harnett Sheehan · International Conference on Computational Linguistics · 2016
In this paper we explore to what extent the difficulty of listening items in an English language proficiency test can be predicted by the textual properties of the prompt. We show that a system based on multiple text complexity features can predict item difficulty for several different item types and for some items achieves higher accuracy than human estimates of item difficulty.