Neural Language Correction Introduction Implementation of Neural Language Correction (corresponding paper) on Tensorflow. Requirements Python 2.7.x (anaconda2) tensorflow-gpu 0.12.1 kenlm 0.0.0 Parallel data (for training && validation) crawled from lang-8 datasets download link P.S. training set: 1,987,139 pairs, validation set: 496,785 pairs. Pretrained TensorFlow Model ckpt download link n-gram Language Model (generated by kenlm) lm download link Training (from scratch) $ python train.py Interactive decoding $ python decode.py