Paper: Grammatical Error Detection Using Tagger Disagreement

ACL ID W14-1706
Title Grammatical Error Detection Using Tagger Disagreement
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2014
Authors

This paper presents a rule-based approach for correcting grammatical errors made by non-native speakers of English. The approach relies on the differences in the outputs of two POS taggers. This paper is submitted in response to CoNLL-2014 Shared Task.