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The following lists are defined in Python: w1=[4, 6, 4,3] w2=[5, 2, 6, 9] ...

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The following lists are defined in Python:

w1=[4, 6, 4,3]

w2=[5, 2, 6, 9]

and then the following dot product is computed:

np . d o t ( w1 , w1) 

If this dot product computes the similarity between two words, what is the dimensionality of their word embeddings?

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