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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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