A Nested Attention Neural Hybrid Model for Grammatical Error Correction
Association for Computational Linguistics - 2017 via Local Bibsonomy
Proposing character-based extensions to a neural MT system for grammatical error correction. OOV words are represented in the encoder and decoder using character-based RNNs. They evaluate on the CoNLL-14 dataset, integrate probabilities from a large language model, and achieve good results.