This paper proposes a method to correct English verb form errors made by non-native speakers. A basic approach is template matching on parse trees. The proposed method improves on this approach in two ways. To improve recall, irregularities in parse trees caused by verb form errors are taken into account; to improve precision, n-gram counts are utilized to filter proposed corrections. Evaluation on non-native corpora, representing two genres and mother tongues, shows promising results.
REF described a system for verb error correction using template matching on parse trees in two ways.
Correcting Misuse of Verb Forms
Annual Meeting Of The Association For Computational Linguistics
Computer Science