everyone on capital used this approach so what makes the difference in getting that gold medal so here are the few things that I made and were quite different from other controls so because we are we are not changing our embeddings we are the layers are not trainable so you have to find the maximum impedance of every world you cannot learn impedance for words for new words for rare words so you have to find those embedded so what I did is an iterative pre-processing step if I don't find the word in an embedding I do some