Research Topics on Machine Translation by Yasmin Moslem
Word Error Rate (WER) computes the minimum-edit distance between the human-generated sentence and the machine-predicted sentence. In other tutorials, I explained how to use Python to compute BLEU and Edit Distance, and this tutorial, I am going to explain how to calculate the WER score.
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In this tutorial, I am going to explain how I compute the BLEU score for the Machine Translation output using Python.
BLEU is simply a measure for evaluating the quality of your Machine Translation system. It does not really matter whether your MT target is from a high-level framework like OpenNMT or Marian, or from a lower-level one like TensorFlow or PyTorch. It does not also matter whether it is a Neural Machine Translation system or a Statistical Machine Translation tool like Moses.
So let’s see the steps I follow to calculate the BLEU score.
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