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`I have a list of strings and I want to create a matrix vide after that I want calculate the semantics similarity between each pair by using wup_similarity of string and fill the matrix with the measures of semantics similarity.`

Python
```list=['empty', 'new', 'recent', 'warm', 'full', 'mixed', 'late',
'little', 'tentative', 'half', 'entree', 'tagliatelle',
'bolognese', 'asparagus', 'good', 'secondo', 'special', 'garlic',
'romanesco', 'bread', 'capable', 'comped',
'tasty', 'huge', 'hungry', 'crowd', 'former', 'able', 'Easy']
print(list)
import numpy as np
from nltk.corpus import wordnet
x = np.zeros((len(list), len(list)))

# print the matrix
print('The matrix is : \n', x)

for i in range(len(list)-1):
syn_sets = [wordnet.synsets(i) for i in list]
#syn1 = wordnet.synsets(list[i])
for j in range(len(list)-1):
syn_sets1 = [wordnet.synsets(j) for j in list]
# syn2 = wordnet.synsets(list[j])
x[i,j]= syn_sets.wup_similarity(syn_sets1)

print(x[i,j])  ```

What I have tried:

error:
`AttributeError: 'list' object has no attribute 'wup_similarity'`
Posted
Updated 18-Apr-22 20:27pm
0x01AA 18-Apr-22 13:46pm
Why `syn_sets` should magically have an attribute `wup_similarity`? Therefore `syn_sets.wup_similarity` would be problematic.
boudinar soltana 19-Apr-22 9:53am
How I print the matrix, because I write print(x) out of the boucle but when I excute, the result is empty matrix fill with zeros.

## Solution 1

Quote:
x[i,j]= syn_sets.wup_similarity(syn_sets1)
This should be, instead
Python
`x[i,j]= syn_sets[i].wup_similarity(syn_sets1[j])`