Update Readme.md

Author: purvasingh96

Chapter-wise code/Code - PyTorch/6. Natural-Language-Processing/6. Machine Translation/NMT-Basic/Readme.md

@@ -5,5 +5,39 @@
 ### Generate French and English Word Embedding
 
 Here, we have 3 given parameters:
-1. `en_embeddings`: English words and their corresponding embeddings.
+1. `en_embeddings`: English words and their corresponding embeddings.<br>
   <img src="./images/en_embeddings.png"></img>
+
+2. `fr_embeddings`: French words and their corresponding embeddings.<br>
+  <img src="./images/fr_embedding.png"></img>
+ 
+3. `en_fr`: English to French dictionary.<br>
+  <img src="./images/en_fr_train.png"></img>
+
+Now, we have to create an English embedding matrix and French embedding matrix:<br>
+  <img src="./images/en_fr_embeddings.png.png"></img><br>
+```python
+# loop through all english, french word pairs in the english french dictionary
+    for en_word, fr_word in en_fr.items():
+
+        # check that the french word has an embedding and that the english word has an embedding
+        if fr_word in french_set and en_word in english_set:
+
+            # get the english embedding
+            en_vec = english_vecs[en_word]
+
+            # get the french embedding
+            fr_vec = french_vecs[fr_word]
+
+            # add the english embedding to the list
+            X_l.append(en_vec)
+
+            # add the french embedding to the list
+            Y_l.append(fr_vec)
+
+    # stack the vectors of X_l into a matrix X
+    X = np.vstack(X_l)
+
+    # stack the vectors of Y_l into a matrix Y
+    Y = np.vstack(Y_l)
+```