Learning to combine Grammatical Error Corrections
Table 4: Nematus performance on W&I dev set by training data. The use of more data improves the system, but only when the training from the domain is upsampled.
['Training Data', 'P', 'R', '[ITALIC] F0.5']
We trained Nematus using several different data sets. First, we trained using only the W&I train set data, we then added Lang8, FCE and Nucle data sources. Since Lang8 is significantly larger than W&I train set, inspired by Junczys-Dowmunt et al. This procedure improved results significantly (