Fix typos in gensim/models/keyedvectors.py (#2290)

gensim/models/keyedvectors.py

@@ -16,7 +16,7 @@
 and *vectors*. Each entity is identified by its string id, so this is a mapping between {str => 1D numpy array}.
 
 The entity typically corresponds to a word (so the mapping maps words to 1D vectors),
-but for some models, they key can also correspond to a document, a graph node etc. To generalize
+but for some models, the key can also correspond to a document, a graph node etc. To generalize
 over different use-cases, this module calls the keys **entities**. Each entity is
 always represented by its string id, no matter whether the entity is a word, a document or a graph node.
 
@@ -767,7 +767,7 @@ def wmdistance(self, document1, document2):
 
         if len(document1) == 0 or len(document2) == 0:
             logger.info(
-                "At least one of the documents had no words that werein the vocabulary. "
+                "At least one of the documents had no words that were in the vocabulary. "
                 "Aborting (returning inf)."
             )
             return float('inf')
@@ -1401,7 +1401,7 @@ def save_word2vec_format(self, fname, fvocab=None, binary=False, total_vec=None)
         fvocab : str, optional
             Optional file path used to save the vocabulary
         binary : bool, optional
-            If True, the data wil be saved in binary word2vec format, else it will be saved in plain text.
+            If True, the data will be saved in binary word2vec format, else it will be saved in plain text.
         total_vec : int, optional
             Optional parameter to explicitly specify total no. of vectors
             (in case word vectors are appended with document vectors afterwards).
@@ -1839,7 +1839,7 @@ def save_word2vec_format(self, fname, prefix='*dt_', fvocab=None,
             Explicitly specify total no. of vectors
             (in case word vectors are appended with document vectors afterwards)
         binary : bool, optional
-            If True, the data wil be saved in binary word2vec format, else it will be saved in plain text.
+            If True, the data will be saved in binary word2vec format, else it will be saved in plain text.
         write_first_line : bool, optional
             Whether to print the first line in the file. Useful when saving doc-vectors after word-vectors.