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Input material at the appropriate level is crucial for language acquisition. Automating the search for such material can systematically and efficiently support teachers in their pedagogical practice. This is the goal of the computational linguistic task of automatic input enrichment (Chinkina and Meurers, 2016): It analyzes and re-ranks a collection of texts in order to prioritize those containing target linguistic forms. In the online study described in the paper, we collected 240 responsesdoi:10.18653/v1/w18-0504 dblp:conf/bea/ChinkinaOM18 fatcat:5n64fy6h4vc4jovm4xurf3j25u