A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Table 2: Results on the JFLEG development and test sets compared to [Chollampatt and Ng2017] (C&N). For MLConvembed, average F0.5 and GLEU of 4 models (trained with different random initializations) are reported.
['System', 'JFLEG Dev F0.5', 'JFLEG Dev GLEU', 'JFLEG Test F0.5', 'JFLEG Test GLEU']
This is without adding the web-scale LM to our system. After adding the web-scale LM and using the spell checker, our method achieves the best reported GLEU and F0.5 scores on these datasets. It is worth noting that our models achieve this level of performance without tuning on the JFLEG development set.