Paper: CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora

ACL ID W14-1707
Title CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2014
Authors

We describe our approach to grammatical er- ror correction presented in the CoNLL Shared Task 2014. Our work is focused on error detec- tion in sentences with a language model based on syntactic tri-grams and bi-grams extracted from dependency trees generated from 90% of the English Wikipedia. Also, we add a na?ve module to error correction that outputs a set of possible answers, those sentences are scored using a syntactic n-gram language model. The sentence with the best score is the final sug- gestion of the system. The system was ranked 11th, evidently this is a very simple approach, but since the begin- ning our main goal was to test the syntactic n-gram language model with a big corpus to future comparison.