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Natural Language Processing: Word Level Analysis
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Natural Language Processing: Word Level Analysis
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23 Questions

1. Capability vs Capabilities is an example of ______ morphology.
2. sentences in NLP?
3. Consider the following corpus of 3 sentences. 1) I am here 2) who am I. 3) I would like to go. Calculate P(here|am) assuming a bi-gram language model
4. How is the word change'
5. Which is standard notation for characterizing text sequences?
6. Which of the following is an example of free morphene?
7. How many trigrams phrases can be generated from the following sentence, after performing following text cleaning steps: Stopword Removal, Replacing punctuations, a single space? #Coursera is a great platform to learn @Machine Learning.'
8. Which of the following techniques can be used to compute the distance between two words?
9. Which of the following techniques can be used to compute similarity between two sentences in NLP?
10. FST is used in _____ Analysis.
11. like to go. Calculate P(here|am) assuming a bi-gram language model
12. to safe locations'
13. Which is most common algorithm used in English language for Stemming?
14. What is output of Morhological analysis for the input word '
15. Which would definitely be rejected by the English syntactic analyzer?
16. How is the word consultants'
17. What is the single morpheme of word Boxes'
18. How many bi-grams can be generated from given sentence:- This is NLP book.'
19. Which type of ambiguity is present in the sentence Old men and women were taken to safe locations'
20. Morphological Segmentation is '
21. How is the word changing'
22. words?
23. N-Gram language models cannot be used for '

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