in code/source/postprocessing.py [0:0]
def y2label(y_pred, int2tag, mask=0):
"""
Transforms numbers to the corresponding label
:param y_pred: list of lists of tag predictions as integers for each word in a sentence
:param int2tag: (dict) dictionary of integers to their corresponding tag
:param mask: (int) integer corresponding to '-PAD-' tag
:return: list of lists of tag predictions as real tag (not integer)
"""
out_pred = []
for pred in y_pred:
predicted_tags = []
for token in pred:
if token != mask:
predicted_tags.append(int2tag[str(token)])
out_pred.append(predicted_tags)
return out_pred