An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions
Nitin Madnani, Aoife Cahill · 2014
This paper presents a proof-of-concept tool for providing automated explicit feedback to language learners based on data mined from Wikipedia revisions.The tool takes a sentence with a grammatical error as input and displays a ranked list of corrections for that error along with evidence to support each correction choice.We use lexical and part-of-speech contexts, as well as query expansion with a thesaurus to automatically match the error with evidence from the Wikipedia revisions.We demonstrate that the tool works well for the task of preposition selection errors, evaluating against a publicly available corpus.