add bleu score tutorial

Author: x4nth055

README.md

@@ -59,6 +59,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
         - [Named Entity Recognition using Transformers and Spacy in Python](https://www.thepythoncode.com/article/named-entity-recognition-using-transformers-and-spacy). ([code](machine-learning/nlp/named-entity-recognition))
         - [Tokenization, Stemming, and Lemmatization in Python](https://www.thepythoncode.com/article/tokenization-stemming-and-lemmatization-in-python). ([code](machine-learning/nlp/tokenization-stemming-lemmatization))
         - [How to Fine Tune BERT for Semantic Textual Similarity using Transformers in Python](https://www.thepythoncode.com/article/finetune-bert-for-semantic-textual-similarity-in-python). ([code](machine-learning/nlp/semantic-textual-similarity))
+        - [How to Calculate the BLEU Score in Python](https://www.thepythoncode.com/article/bleu-score-in-python). ([code](machine-learning/nlp/bleu-score))
     - ### [Computer Vision](https://www.thepythoncode.com/topic/computer-vision)
         - [How to Detect Human Faces in Python using OpenCV](https://www.thepythoncode.com/article/detect-faces-opencv-python). ([code](machine-learning/face_detection))
         - [How to Make an Image Classifier in Python using TensorFlow and Keras](https://www.thepythoncode.com/article/image-classification-keras-python). ([code](machine-learning/image-classifier))

machine-learning/nlp/bleu-score/README.md

@@ -0,0 +1 @@
+# [How to Calculate the BLEU Score in Python](https://www.thepythoncode.com/article/bleu-score-in-python)

machine-learning/nlp/bleu-score/bleu_score.py

@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+"""BLEU Score.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1dSsETrstp-EEGMX46nc-m_jw00nzkaNZ
+"""
+
+from nltk.translate.bleu_score import sentence_bleu, corpus_bleu
+
+# Prepare the reference sentences
+reference1 = ['I', 'love', 'eating', 'ice', 'cream']
+reference2 = ['I', 'enjoy', 'eating', 'ice', 'cream']
+
+# Prepare the candidate sentence
+translation = ['I', 'love', 'eating', 'ice', 'cream']
+
+# Calculate the BLEU score for a single sentence
+bleu_score = sentence_bleu([reference1, reference2], translation)
+print("BLEU Score: ", bleu_score)
+
+# Prepare the reference sentences and candidate sentences for multiple translations
+references = [['I', 'love', 'eating', 'ice', 'cream'], ['He', 'enjoys', 'eating', 'cake']]
+translations = [['I', 'love', 'eating', 'ice', 'cream'], ['He', 'likes', 'to', 'eat', 'cake']]
+ 
+# Create a list of reference lists
+references_list = [[ref] for ref in references]
+ 
+# Calculate BLEU score for the entire corpus
+bleu_score_corpus = corpus_bleu(references_list, translations)
+print("Corpus BLEU Score: ", bleu_score_corpus)
+

machine-learning/nlp/bleu-score/requirements.txt

@@ -0,0 +1 @@
+ntlk