diff --git a/SpeechTaggingNLTK.py b/SpeechTaggingNLTK.py
new file mode 100644
index 0000000..416c7fa
--- /dev/null
+++ b/SpeechTaggingNLTK.py
@@ -0,0 +1,33 @@
+import nltk 
+from nltk.corpus import stopwords 
+from nltk.tokenize import word_tokenize, sent_tokenize 
+stop_words = set(stopwords.words('english')) 
+
+// Dummy text 
+txt = "Sukanya, Rajib and Naba are my good friends. " \ 
+	"Sukanya is getting married next year. " \ 
+	"Marriage is a big step in one’s life." \ 
+	"It is both exciting and frightening. " \ 
+	"But friendship is a sacred bond between people." \ 
+	"It is a special kind of love between us. " \ 
+	"Many of you must have tried searching for a friend "\ 
+	"but never found the right one."
+
+# sent_tokenize is one of instances of 
+# PunktSentenceTokenizer from the nltk.tokenize.punkt module 
+
+tokenized = sent_tokenize(txt) 
+for i in tokenized: 
+	
+	# Word tokenizers is used to find the words 
+	# and punctuation in a string 
+	wordsList = nltk.word_tokenize(i) 
+
+	# removing stop words from wordList 
+	wordsList = [w for w in wordsList if not w in stop_words] 
+
+	# Using a Tagger. Which is part-of-speech 
+	# tagger or POS-tagger. 
+	tagged = nltk.pos_tag(wordsList) 
+
+	print(tagged)