remove unused command

README.md

@@ -56,8 +56,8 @@ example = " ".join(word_tokenize(example))
 # feed to the NER model to parse
 ner_results = nlp(example)
 
-# as the [grouped_entities] parameter does not perform well for Arabic,
-# we prepared a simple fixing code to generate the full entities tokens
+# as the [grouped_entities] parameter does not perform well in Arabic,
+# we prepared a simple fixing code to generate full entities tokens
 
 grouped_ner_results = defaultdict(list)
 fixed_ner_results = []
@@ -70,7 +70,6 @@ for group, ents in grouped_ner_results.items():
     fixed_ner_results.append(ents[0])
     continue
   
-  last_ent, last_start, last_end = ents[0]['word'], ents[0]['start'], ents[0]['end']
   current_ent = {"word": ents[0]['word'], "start": ents[0]['start'], "end": ents[0]['end'], "entity_group": group, "score": ents[0]['score']}
   for i in range(1, len(ents)):
     if ents[i]['start'] == current_ent["end"]: