File size: 478 Bytes
cfc9e50 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
import numpy as np
def get_vectors(embeddings, words):
"""
Input:
embeddings: a word
fr_embeddings:
words: a list of words
Output:
X: a matrix where the rows are the embeddings corresponding to the rows on the list
"""
m = len(words)
X = np.zeros((1, 300))
for word in words:
english = word
eng_emb = embeddings[english]
X = np.row_stack((X, eng_emb))
X = X[1:,:]
return X
|