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REQUIREMENTS:

Python3
json
nltk.translate
collections

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STEPS TO RUN:

1) Change the file path in the FILE variable, to the desired json file
2) Change the SOURCE_LANGUAGE and DESTINATION_LANGUAGE to the language tags in the json file
3) Change the NUMBER_OF_ITERATIONS to one's liking

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BRIEF DESCRIPTION ABOUT THE CODE:

1) IBM_1.py -- It is the python3 implementation of IBM 1 Model without using any inbuilt nltk libraries, implementing the EM algorithm through custom code.

2) IBMnltk.py -- It is the python3 implementation of IBM 1 and IBM 2 Model using ibm1 and ibm2 from nltk.translate libraries available open source.

3) phrase_extract.py -- It is the python3 implementation of the phrase extraction and phrase scores using the inbuilt phrase_extractor from the nltk.translate libraries available open source.

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