NLP MCQ

NLP MCQ

  • Sharad Jaiswal
  • 20th Nov, 2021

We have listed here the best NLP MCQ Questions for your basic knowledge of Natural Language Processing. This NLP MCQ Test contains 30+ Natural Language Processing Multiple Choice Questions. You have to select the right answer to every question.

Practice Best NLP MCQ Questions

1) What is the full form of NLP?

  • A. Non-natural Language Processing
  • B.Normal Language Processing
  • C.Natural Language Processing
  • D.None of the above

2) NLP is concerned with the interactions between computers and human (natural) languages.

  • A. True
  • B.False

3) Which of the following is a type of Coreference Resolution?

  • A. Given a sentence or larger chunk of text, determine which words (“mentions”) refer to the same objects (“entities”)
  • B.Anaphora Resolution
  • C.All of the mentioned
  • D.None of the mentioned

4) What is the main challenge/s of NLP?

  • A. Handling POS-Tagging
  • B.Handling Ambiguity of Sentences
  • C.Handling Tokenization
  • D.None of the mentioned

5) Natural Language Processing (NLP) is field of:

  • A. Artificial Intelligence
  • B.Computer Science
  • C.Linguistics
  • D.All of above

6) What is the language of machine translation?

  • A. Converts one human language to another
  • B.Converts Machine language to human language
  • C.Converts human language to machine language
  • D.None of the mentioned

7) Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by

  • A. Shallow Semantic Analysis
  • B.Word Sense Disambiguation
  • C.Fuzzy Logic
  • D.None of the above

8) What is the process for reducing inflected words to their root form in linguistic morpholog?

  • A. Stemming
  • B.Rooting
  • C.Text-Proofing
  • D.Both a & b

9) What is the name for information sent from robot sensors to robot controllers?

  • A. signal
  • B.temperature
  • C.feedback
  • D.pressure

10) Which of the following name for the space inside that a robot unit operates?

  • A. work envelop
  • B.spatial base
  • C.environment
  • D.danger zone

11) Which of the following models can perform tweet classification with regards to context mentioned above?

  • A. Naive Bayes
  • B.SVM
  • C.Both 1 and 2
  • D.None of the mentioned

12) Which of the following features can be used for accuracy improvement of a classification model?

  • A. Part of Speech Tag
  • B.Dependency Grammar
  • C.Vector Notation of sentence
  • D.All of the above

13) What are the most common and the rarest term of the corpus?

  • A. t5, t1
  • B.t5, t6
  • C.t4, t6
  • D.t3, t5

14) What is the term frequency of a term which is used a maximum number of times in that document?

  • A. t4 – 2/6
  • B.t1 – 2/6
  • C.t3 – 3/6
  • D.t6 – 2/5

15) What do you by Sequence Learning?

  • A. Sequence learning is a method of only teaching in a logical manner
  • B.Sequence learning is a method of teaching and learning in a logical manner.
  • C.Both 1 and 2
  • D.None of these

16) Which of the following component of NLP?

  • A. Pragmatic analysis
  • B.Entity extraction
  • C.Syntactic analysis
  • D.All of the above

17) Who is the father of NLP?

  • A. Enjamin Bandler
  • B.Richard Bandler
  • C.Elijah Bandler
  • D.None of these

18) Which among the following is not an application of natural language programming (nlp)?

  • A. ChatBot
  • B.Speech Recognition
  • C.Sentimental Analysis
  • D.Market Basket Analysis

19) What are the two subfields of Natural language processing?

  • A. context and expectations
  • B.recognition and synthesis
  • C.semantics of pragmatics
  • D.generation and understanding

20) Which kind of areas where NLP can be useful?

  • A. Information Retrieval
  • B.Automatic Text Summarization
  • C.Automatic Question-Answering Systems
  • D.All of the above

21) Which of the following options show where NLP is useful?

  • A. Information Retrieval
  • B.Automatic Text Summarization
  • C.Automatic Question-Answering Systems
  • D.All of the Above

22) What is natural language processing good for?

  • A. Summarize blocks of text
  • B.Identify the type of entity extracted
  • C.Automatically generate keyword tags
  • D.All of the Above

23) What is morphological segmentation?

  • A. Does Discourse Analysis
  • B.Is an extension of propositional logic
  • C.Separate words into individual morphemes and identify the class of the morphemes
  • D.None of the above

24) What is Machine Translation?

  • A. Converts any human language to English
  • B.Converts one human language to another
  • C.Converts human language to machine language
  • D.Converts Machine language to human language

25) What is Machine Translation?

  • A. Converts any human language to English
  • B.Converts one human language to another
  • C.Converts human language to machine language
  • D.Converts Machine language to human language

26) In linguistic morphology _____________ is the process for reducing inflected words to their root form.

  • A. Rooting
  • B.Stemming
  • C.Text-Proofing
  • D.Both A & B

27) One of the main challenge/s of NLP is.............

  • A. Handling Tokenization
  • B.Handling POS-Tagging
  • C.Handling Ambiguity of Sentences
  • D.All of the Above

28) Which of the following is an application of nlp?

  • A. Alexa
  • B.Cortana
  • C.Google Assistant
  • D.None of the above

29) Which of the following is an application of nlp?

  • A. Alexa
  • B.Cortana
  • C.Google Assistant
  • D.None of the above

30) Which of the below are NLP use cases?

  • A. Speech Biometric
  • B.Facial Recognition
  • C.Text Summarization
  • D.Detecting objects from an image

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