NLP stands for Natural Language Processing. NLP is a subpart of Artificial intelligence that helps machines by processing and understanding the human language to perform repetitive tasks automatically. ...

2. List major components of NLP?

Major components of NLP are: Morphological and Lexical Analysis. Syntactic Analysis. Semantic Analysis. Discourse Integration. Pragmatic Analysis. ...

3. What is tokenization in NLP?

Tokenization is the process of dividing or splitting phrases, sentences, paragraphs, or entire text document into smaller units such that each token will hold an individual division. ...

4. What is Numpy Slicing?

Numpy Slicing is a method used for accessing the specific parts of a string, list, or tuple. It can be performed like this: element[start:end: step], where the element can be string, list, or tuple. ...

5. What is Lemmatization?

Lemmatization in Natural Language Processing is a text pre-processing technique used for grouping different words together to their base root with the use of vocabulary and morphological analysis. ...

NLTK stands for Natural Language Toolkit. NLTK is basically a platform that helps in building a python program for working with High-Level Language data. It helps the computer in understanding, analyzing, and processing the written text. ...

7. What is pragmatic analysis in NLP?

The pragmatic analysis is the process of extracting information from text with the help of a set of linguistic and logical tools to figure out the real meaning of the text. ...

8. What is perplexity?

Perplexity is a method of analyzing and evaluating language models in NLP i.e. it evaluates the probability distribution over a sentence or whole text. ...

9. What is POS tagging?

POS (Part of Speech) tagging is used to categorize each word in a sentence according to its appropriate part of speech and other grammatical categories. ...

WordNet is the lexical database or dictionary in Natural Language Tool Kit (NLTK) that is specifically designed to get information about the words and phrases. ...

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NLP MCQ

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03rd Feb, 2023
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NLP MCQ Questions
NLP MCQ PDF

NLP MCQ Questions

1. NLP stands for Natural Language Processing.
2. NLP is concerned with the interactions between computers and human (natural) languages.
3. The following areas where NLP can be useful -
4. Machine Translation is that converts -
5. Which of the following is the field of Natural Language Processing (NLP)?
6. What is Natural Language Processing good for?
7. You can build a machine learning RSS reader in less than 30-minutes using -
8. Natural Language Processing (NLP) is the field of
9. NLP is concerned with the interactions between computers and human (natural) languages.
10. One of the main challenge/s of NLP Is _________________ .
11. Choose form the following areas where NLP can be useful.
12. Coreference Resolution is -
13. Morphological Segmentation
14. In linguistic morphology, _____________ is the process for reducing inflected words to their root form.
15. What is the name for information sent from robot sensors to robot controllers?
16. What is the name for the space inside which a robot unit operates?
17. Which is used to extract solution directly from the planning graph?
18. What is the starting level of planning graph?
19. Seymour Papert of the MIT AI lab created a programming environment for children called -
20. Natural language processing is divided into the two subfields of -

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Practice below the best NLP MCQ Questions test that checks your basic knowledge of NLP (Natural Language Processing). This NLP MCQ Test contains 25+ NLP Multiple Choice Questions. You have to select the right answer to every question to check your final preparation for your interview. apart from this, you can download the NLP MCQ PDF below completely free.

NLP MCQ Quiz

1) NLP stands for Natural Language Processing.

A. true
B.false

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

A. Yes
B.No
C.Not Sure

3) The following areas where NLP can be useful -

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

4) Machine Translation is that converts -

A. Human language to machine language
B.One human language to another
C.Any human language to English
D.Machine language to human language

5) Which of the following is the field of Natural Language Processing (NLP)?

A. Computer Science
B.Artificial Intelligence
C.Computational linguistics
D.All of the above

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6) What is Natural Language Processing good for?

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

7) You can build a machine learning RSS reader in less than 30-minutes using -

A. ScrapeRSS
B.Html2Text & AutoTag
C.Sentiment Analysis
D.All of the mentioned

8) Natural Language Processing (NLP) is the field of

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

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

A. True
B.False

10) One of the main challenge/s of NLP Is _________________ .

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

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11) Choose form the following areas where NLP can be useful.

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

12) Coreference Resolution is -

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

13) Morphological Segmentation

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