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How to calculate the alignment between BERT and spaCy tokens effectively and robustly

What is alignment of tokens and Why is it necessary?
Suppose we want to combine a BERT-based named entity recognition (NER) model with a rule-based NER model built on top of spaCy.
Although BERT s NER exhibits extremely high performance,
it is usually combined with rule-based approaches for practical purposes.
In such cases, what often bothers us is that tokens of spaCy and BERT are different, even if the input sentences are the same.
For example, let s say the input sentence is John Johanson s house ; BERT tokenizes this sentence like
[ john , johan , ##son , , s , house ] and spaCy tokenizes it like ....

John Johanson , Language Processing , ஜான் ஜோஹன்சன் , மொழி ப்ரோஸெஸிஂக் ,