diff --git a/ch3/3_1_wordsteam.py b/ch3/3_1_wordsteam.py
index 9b10cbb..7f6e1fd 100644
--- a/ch3/3_1_wordsteam.py
+++ b/ch3/3_1_wordsteam.py
@@ -1,8 +1,9 @@
-# This script give you idea how stemming has been placed by using NLTK and Polyglot libraries.
+# This script give you idea how stemming has been placed by using NLTK library.
 # It is part of morphological analysis
 
 from nltk.stem import PorterStemmer
-from polyglot.text import Text, Word
+from nltk.stem import WordNetLemmatizer
+import nltk
 
 word = "unexpected"
 text = "disagreement"
@@ -17,41 +18,54 @@
 text9 = "expected"
 words_derv = ["happiness", "unkind"]
 word_infle = ["dogs", "expected"]
-words = ["unexpected", "disagreement", "disagree", "agreement", "quirkiness", "canonical" "historical"]
+words = ["unexpected", "disagreement", "disagree", "agreement", "quirkiness", "canonical", "historical"]
 
 def stemmer_porter():
     port = PorterStemmer()
-    print "\nDerivational Morphemes"
-    print " ".join([port.stem(i) for i in text6.split()])
-    print " ".join([port.stem(i) for i in text7.split()])
-    print "\nInflectional  Morphemes"
-    print " ".join([port.stem(i) for i in text8.split()])
-    print " ".join([port.stem(i) for i in text9.split()])
-    print "\nSome examples"
-    print " ".join([port.stem(i) for i in word.split()])
-    print " ".join([port.stem(i) for i in text.split()])
-    print " ".join([port.stem(i) for i in text1.split()])
-    print " ".join([port.stem(i) for i in text2.split()])
-    print " ".join([port.stem(i) for i in text3.split()])
-    print " ".join([port.stem(i) for i in text4.split()])
-    print " ".join([port.stem(i) for i in text5.split()])
+    print("\nDerivational Morphemes")
+    print(" ".join([port.stem(i) for i in text6.split()]))
+    print(" ".join([port.stem(i) for i in text7.split()]))
+    print("\nInflectional  Morphemes")
+    print(" ".join([port.stem(i) for i in text8.split()]))
+    print(" ".join([port.stem(i) for i in text9.split()]))
+    print("\nSome examples")
+    print(" ".join([port.stem(i) for i in word.split()]))
+    print(" ".join([port.stem(i) for i in text.split()]))
+    print(" ".join([port.stem(i) for i in text1.split()]))
+    print(" ".join([port.stem(i) for i in text2.split()]))
+    print(" ".join([port.stem(i) for i in text3.split()]))
+    print(" ".join([port.stem(i) for i in text4.split()]))
+    print(" ".join([port.stem(i) for i in text5.split()]))
 
 
-def polyglot_stem():
-    print "\nDerivational Morphemes using polyglot library"
+def nltk_lemmatizer():
+    """
+    Alternative to polyglot using NLTK's WordNetLemmatizer.
+    This demonstrates morphological analysis using lemmatization.
+    """
+    lemmatizer = WordNetLemmatizer()
+    
+    print("\nDerivational Morphemes using NLTK lemmatizer")
     for w in words_derv:
-        w = Word(w, language="en")
-        print("{:<20}{}".format(w, w.morphemes))
-    print "\nInflectional Morphemes using polyglot library"
+        noun_form = lemmatizer.lemmatize(w, pos='n')
+        adj_form = lemmatizer.lemmatize(w, pos='a')
+        verb_form = lemmatizer.lemmatize(w, pos='v')
+        print("{:<20}Noun: {:<15} Adj: {:<15} Verb: {}".format(w, noun_form, adj_form, verb_form))
+    
+    print("\nInflectional Morphemes using NLTK lemmatizer")
     for w in word_infle:
-        w = Word(w, language="en")
-        print("{:<20}{}".format(w, w.morphemes))
-    print "\nSome Morphemes examples using polyglot library"
-    for w in word_infle:
-        w = Word(w, language="en")
-        print("{:<20}{}".format(w, w.morphemes))
+        noun_form = lemmatizer.lemmatize(w, pos='n')
+        verb_form = lemmatizer.lemmatize(w, pos='v')
+        print("{:<20}Noun: {:<15} Verb: {}".format(w, noun_form, verb_form))
+    
+    print("\nSome Morphemes examples using NLTK lemmatizer")
+    for w in words:
+        noun_form = lemmatizer.lemmatize(w, pos='n')
+        adj_form = lemmatizer.lemmatize(w, pos='a')
+        verb_form = lemmatizer.lemmatize(w, pos='v')
+        print("{:<20}Noun: {:<15} Adj: {:<15} Verb: {}".format(w, noun_form, adj_form, verb_form))
 
 
 if __name__ == "__main__":
     stemmer_porter()
-    polyglot_stem()
+    nltk_lemmatizer()