Artificial Intelligence - Natural Language Processing

Avatto > > UGC NET COMPUTER SCIENCE > > PRACTICE QUESTIONS > > Artificial Intelligence > > Natural Language Processing

6. If first corpus has TTR1 = 0.013 and second corpus has TTR2 = 0.13, where TTR1 and TTR2 represents type/token ratio in first and second corpus respectively, then

Cancel reply

Your email address will not be published. Required fields are marked *


Cancel reply

Your email address will not be published. Required fields are marked *


7. Which of the following are instances of stemming? (as per Porter Stemmer)
1. are → be
2. plays → play
3. saw → s
4. university → univers

Cancel reply

Your email address will not be published. Required fields are marked *


Cancel reply

Your email address will not be published. Required fields are marked *


8. Which of the following is/are true for English Language?
1. Lemmatization works only on inflectional morphemes and Stemming works only on derivational morphemes.
2. The outputs of lemmatization and stemming for the same word might differ.
3. Output of lemmatization are always real words
4. Output of stemming are always real words

Cancel reply

Your email address will not be published. Required fields are marked *


Cancel reply

Your email address will not be published. Required fields are marked *


9. As per Zipf's law, the correct statement about a corpus is:

Cancel reply

Your email address will not be published. Required fields are marked *


Cancel reply

Your email address will not be published. Required fields are marked *


10. Which one is not related to the concept of decision tree algorithm:

Cancel reply

Your email address will not be published. Required fields are marked *


Cancel reply

Your email address will not be published. Required fields are marked *


  • Natural language processing in ai Questions can be used by any candidate who is preparing for UGC NET Computer Science
  • This natural language processing  Questions  Answers section will help you test your analytical skills in a tricky method, thereby giving you an edge over other students
  • Any student who wants to prepare for DOEACC A Level, DOEACC B Level, and DOEACC C level can also use these Objective Type Questions Answer.
  • All candidates who have to appear for the Kendriya Vidyalaya Entrance exam can also refer to this mcq section.
  • You can also get access to the natural language processing in ai MCQ ebook.
  • natural language processing in ai Questions can be used in the preparation of JRF, CSIR, and various other exams.
  • You can also download pdf for this natural language processing in ai multiple-choice questions Answers.
  • This natural language processing in ai Multiple Choice Questions Answers section can also be used for the preparation of various competitive exams like UGC NET, GATE, PSU, IES, and many more.
  • natural language processing in ai Questions can be used to gain a credit score in various undergraduate and postgraduate courses like BSc, MSc and MCA

natural language processing in ai Questions

natural language processing in ai MCQ

natural language processing in ai Multiple choice questions

NLP MCQ

Natural Language Processing MCQ