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Natural Language Processing MCQ

A visually engaging illustration representing natural language processing concepts, such as text analysis, machine learning, and linguistic structures, with elements like computers, books, and robots interacting with language.

Natural Language Processing Quiz

Test your knowledge about Natural Language Processing (NLP) with this engaging quiz! Whether you’re a student, teacher, or simply curious about the field, our quiz offers an array of questions that cover essential NLP concepts.

Here’s what you can expect:

Multiple-choice questions
Insights into various NLP applications
A fun way to enhance your understanding of language technology

86 Questions22 MinutesCreated by LearningMachine42

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) 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

3) 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

4) Natural Language Processing (NLP) is field of

A) Artificial Intelligence

B) Computer Science

C) Linguistics

D) All of above

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

A) Stemming

B) Rooting

C) Text-Proofing

D) Both 1 & 2

6) 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

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

A) Temperature

B) Feedback

C) Signal

D) Pressure

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

A) t5, t1

B) t5, t6

C) t4, t6

D) t3, t6

9) 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

10) Which of the following component of NLP?

A) Pragmatic analysis

B) Entity extraction

C) Syntactic analysis

D) All of the above

11) Who is the father of NLP?

A) Enjamin Bandler

B) Richard Bandler

C) Elijah Bandler

D) None of these

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

A) context and expectations

B) semantics of pragmatics

C) recognition and synthesis

D) generation and understanding

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

A) Automatic Question-Answering Systems

B) Automatic Text Summarization

C) Information Retrieval

D) All of the above

14) 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

15) 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.

16) 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

17) Which of the following is an application of NLP?

A) Google Assistant

B) Cortana

C) Alexa

D) None of the above

18) 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

19) What are the input and output of an NLP system?

A) Speech and noise

B) Speech and Written Text

C) Noise and Written Text

D) Noise and value

20) 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) Fuzzy Logic

B) Shallow Semantic Analysis

C) Word Sense Disambiguation

D) All of the above

21) Solemnization is used for?

A) To add constant

B) To Eliminating Universal Quantifiers

C) For adding the Universal Quantifiers

D) To Eliminate Existential Quantifiers

22) It is one of the greatest challenges of NLP nowadays?

A) Text-to-speech recognition

B) Named Entity Recognition (NER).

C) Both A and B.

D) None of the Above

23) What is a finite set of rules that specifies a language?

A) Signs

B) Communication

C) Grammar

D) Phrase

24) Natural Language Processing (NLP) is field of

A) Computer Science

B) Artificial Intelligence

C) Linguistics

D) All of the mentioned

25) In which of the following stages of NLP, does one draw a parse tree?

A) Morphological

B) Syntactic

C) Semantic

D) Pragmatic

26) Modern NLP algorithms are based on …………………..

A) Neural language processing

B) machine learning

C) artificial intelligence

D) all of the above

27) "I am tired." Contain which type of ambiguity ?

A) Lexical ambiguity

B) Syntax Level ambiguity

C) Semantic ambiguity

D) None of the Above

28) 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

29) Natural language processing (nlp) is associated with which of the following areas?

A) text mining

B) artificial intelligence

C) computational linguistics

D) All of the above

29) All of the following are challenges associated with natural language processing except

A) dividing up a text into individual words in English.

B) understanding the context in which something is said.

C) recognizing typographical or grammatical errors in texts

D) distinguishing between words that have more than one meaning.

30) The natural language is also known as .....................

A) 3rd Generation language

B) 4th Generation language

C) 5th Generation language

D) 6th Generation language

31) In section splitting technique, text is split into…

A) Words

B) Sentences

C) Sections

D) Letters

32) In sentence splitting technique, text is split into…

A) Words

B) Sentences

C) Sections

D) Letters

33) There is (are) … types of text splitting techniques.

A) 1

B) 2

C) 3

D) 5

34) Text splitting can be done by splitting text into…

A) Sentences

B) Sections

C) Words

D) Both a & b

35) Assigning a syntactic tag to each word in a sentence is known as ...

A) Part-of-speech tagging

B) All-of-speech tagging

C) Part-of-speech defining.

D) All-of-speech defining

36) Part-of-speech tagging is Assigning … to each word in a sentence

A) Syntactic definition

B) Semantic tag

C) Syntactic tag

D) Semantic definition

37) Building the syntactic tree of a sentence is known as…

A) Parsing

B) Part-of-speech tagging

C) Named-entity recognition.

D) NLP

38) Parsing is Building the … of a sentence.

A) Syntactic graph

B) Semantic graph

C) Syntactic tree

D) Semantic tree

39) Identifying pre-defined entity types in a sentence is known as …

A) Named-entity recognition.

B) Named-entity identification.

C) Numbered-entity recognition.

D) Numbered-entity identification.

40) Figuring out the exact meaning of a word or entity is known as…

A) Word sense disambiguation

B) Word feel of disambiguation.

C) sentence sense disambiguation

D) text sense disambiguation

41) Word sense disambiguation is Figuring out the exact meaning of a …

A) Word

B) Entity

C) Both a & b

D) None of the previous

42) There are … senses of the noun interest according to LDOCE.

A) 11

B) 10

C) 12

D) 6

43) LDOCE defined six senses of …

A) Noun interest.

B) Verb interest

C) Noun benefit

D) Verb benefit

44) Extracting subject-predicate-object triples from a sentence is known as…

A) Semantic role labeling

B) Syntactic role labeling

C) Semantic role naming

D) Syntactic role naming

45) Semantic role labeling is extracting … triples from a sentence.

A) subject-predicate-obstacle

B) subject-predicate-object

C) sentence-predicate-object

D) subject-predefine-object.

46) Which of the following is not an NLP technique?

A) Parsing

B) Named-entity recognition.

C) Section splitting

D) Linguistics

47) Language analysis is made of …

A) Semantic analysis only

B) Syntactic analysis only

C) Both a & b

D) None of the previous

48) The grammatical structure of the text is known as …

A) syntax

B) semantics

C) words

D) linguistics

49) The meaning being conveyed of a text as known as …

A) syntax

B) semantics

C) words

D) linguistics

50) A technique that comes from morphology and information retrieval which is used in NLP for pre-processing and efficiency purposes is…

A) syntax

B) semantics

C) stemming

D) none of the above

51) One example of a natural language programming software program used with the iPhone is ……...

A) iCloud

B) iOS

C) Siri

D) Assistive touch

52) Given a sound clip of a person or people speaking, determine the textual representation of the speech.

A) Text-to-speech

B) Speech-to-text

C) All of the mentioned

D) None of the mentioned

53) How many Components of NLP are there?

A) 2

B) 3

C) 4

D) 5

54) Which of the following is used to mapping sentence plan into sentence structure?

A) Text planning

B) Sentence planning

C) Text Realization

D) None of the Above

55) What are the input and output of an NLP system?

A) Speech and noise

B) Speech and Written Text

C) Noise and Written Text

D) Noise and value

56) Parts-of-Speech tagging determines ___________

A) part-of-speech for each word dynamically as per meaning of the sentence

B) part-of-speech for each word dynamically as per sentence structure

C) all part-of-speech for a specific word given as input

D) All of the above

57) Sentiment analysis is an area of:

A) Computer vision

B) Natural language processing

C) Data analysis

D) Data mining

58) Using pronouns to refer back entities already introduced in the text is called as ________ problem . Anaphora Misspellings

A) Multiple

B) Meaning

C) Lexical

D) problem

59) How many ambiguities exist in the following sentence. ” I know little Italian”.

A) 1

B) 3

C) 2

D) 0

60) ”Sita loves her mother and Gita does too” contain which type of ambiguity?

A) Syntactic

B) Semantic

C) Lexical

D) Anaphoric

61) ”I saw bats” contains which type of ambiguity?

A) Syntactic

B) Semantic

C) Lexical

D) Anaphoric

62) Which of the following is used study of construction of words from primitive meaningful units?

A) Phonology

B) Archaeology

C) Morpheme

D) Morphology

63) Which of the following is demerits of Top-Down Parser?

A) inefficient

B) It is hard to implement.

C) none of the Above

D) Slow speed

64) Which of the following involves the key tasks of NATURAL LANGUAGE PROCESSING?

A) Automatic Summarization

B) Discourse Analysis

C) Machine Translation

D) All of these

65) Information extraction is ……………… Level of Natural language processing difficulties.

A) Difficult

B) Intermediate

C) Easy

D) None of them

66) Parsing in NLP is the process of

A) Splitting a text into sentences

B) Assigning a syntactic tag to each word in a sentence

C) Building the syntactic tree of a sentence

D) Identifying pre-defined entity types in a sentence

67) Named-entity recognition is used to

A) Identify pre-defined entity types in a sentence.

B) Figure out the exact meaning of a word or entity.

C) Extract subject-predicate-object triples from a sentence

D) Split a text into sections.

68) Word sense disambiguation is the process of

A) Splitting a text into sections

B) Building the syntactic tree of a sentence

C) Identifying pre-defined entity types in a sentence

D) Figuring out the exact meaning of a word or entity

69) Semantic role labeling in NLP

A) Figures out the exact meaning of a word or entity

B) Extracts subject-predicate-object triples from a sentence

C) Identifies pre-defined entity types in a sentence.

D) Builds the syntactic tree of a sentence.

70) Sentence splitting is

A) Splitting a text into sentences

B) Splitting a text into sections

C) Figuring out the exact meaning of a word or entity

D) Extracting subject-predicate-object triples from a sentence

71) An example of NLP Techniques is

A) Section splitting

B) Part-of-speech tagging

C) Parsing

D) All of the above

72) An example of NLP Techniques is

A) Sentence splitting

B) Named-entity recognition.

C) Word sense disambiguation

D) All of the above

73) Phonetics and phonology (Phonetic analysis) is a branch in NLP which deals with

A) The study of Linguistic sounds and their relations to words

B) The study of internal structures of words and how they can be modified.

C) The study of the structural relationships between words in a sentence

D) None of the above

74) Morphology is a branch of linguistics that focuses on

A) The studying of linguistic sounds and their relations to words

B) The studying of internal structures of words and how they can be modified and parsing complex words into their components

C) The studying of the structural relationships between words in a sentence

D) The studying of the meaning of words, and how these combine to form the meanings of sentence.

75) Syntax in NLP focuses on

A) The study of the structural relationships between words in a sentence

B) The study of the meaning of words, and how these combine to form the meanings of sentences.

C) The study of internal structures of words and how they can be modified

D) The study of linguistic sounds and their relations to words

76) Semantics in NLP focuses on

A) The study of the structural relationships between words in a sentence

B) The study of the meaning of words, and how these combine to form the meanings of sentences.

C) The study of internal structures of words and how they can be modified

D) The study of linguistic sounds and their relations to words Semantics in NLP focuses on

77) Pragmatics is a subfield of linguistics that

A) Studies of the structural relationships between words in a sentence

B) Studies of the meaning of words, and how these combine to form the meanings of sentences.

C) Studies of internal structures of words and how they can be modified.

D) Studies of how language is used to accomplish goals, and the influence of context on meaning.

78) Discourse in NLP is

A) The study of linguistic units larger than a single statement

B) The study of how language is used to accomplish goals, and the influence of context on meaning.

C) The study of the meaning of words, and how these combine to form the meanings of sentences.

D) The study of the structural relationships between words in a sentence

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

A) Discourse analysis

B) Paraphrasing

C) Ambiguity

D) All of the above

80) A ........... Is constructed of a set of all possible texts

A) Language

B) Vocabulary

C) Context

D) Text

81) A ......... Is composed of a sequence of words from a vocabulary

A) Text

B) Word

C) Language

D) Vocabulary

82) A vocabulary consists of a set of .....

A) Words

B) Text

C) Letters

D) Languages

83) ………… is defined as Predicting the next word that is highly probable to be typed by the user

A) Word Prediction

B) Spell and Grammar Checking

C) Information Retrieval

D) Text Categorization

84) ………….. means Assigning one (or more) pre-defined category to a text.

A) Word Prediction

B) Spell and Grammar Checking

C) Information Retrieval

D) Text Categorization

85) …………… is defined as Recognizing printed or handwritten texts and converting them to computer-readable texts.

A) Word Prediction

B) Optical Character Recognition

C) Information Retrieval

D) Text Categorization

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