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What is Natural Language Processing Exam 2021-22 about?
This document provides instructions for a Natural Language Processing end-term examination. It includes 4 questions, each with multiple parts. Question 1 asks about advantages of tf-idf vectorization over bag-of-words and applying the CYK parsing algorithm. Question 2 involves probabilities in PCFGs and writing a program to analyze word frequencies and bags of words in a paragraph. Question 3 provides corpus data to estimate n-gram probabilities using maximum likelihood estimation. Question 4 asks about num
- Author
- aditi
- Language
- EN