Natural Language Processing (NLP) MCQ's




Question 691 :
Look At That Dog With One Eye – Am I To Close An Eye And Look At The Dog Or Does The Dog Have One Eye? Which Type Of Ambiguity Do You Experience In This Sentence.

  1. Semantic Ambiguity
  2. Syntactic Ambiguity
  3. Pragmetic Ambiguity
  4. Anaphoric Ambiguity
  

Question 692 :
Each connection in HMM represents a _______ over possible options; given our ______, this results in a large search space of the ________ of all words given the tag.

  1. Value, variables, associativity
  2. Distribution, tags, probability
  3. Variable, Labels, Transitivity
  4. Object, groups, associativity
  

Question 693 :
Which of these is NOT a feature of pragmatics?

  1. cultural references
  2. assumptions about audiences
  3. implication and inference
  4. cohesion
  

Question 694 :
Text summarization finds the most informative sentences in a ____;

  1. Video
  2. Image
  3. Sound
  4. Doccument
  

Question 695 :
Rohan Was With Her, They Both Go Together, In The Given Sentence Who Is Her Is Unclear, Specify The Type Of Ambiguity ?

  1. Semantic Ambiguity
  2. Anaphoric Ambiguity
  3. Pragmetic Ambiguity
  4. Lexical Ambiguity
  

Question 696 :
Progmatic Analysis Is the ________ Stage in NLP?

  1. First
  2. Second
  3. Fifth
  4. Forth
  

Question 697 :
A frequently used statistical model in nlp

  1. Stochestic
  2. Hybrid
  3. HMM
  4. Lengustic
  

Question 698 :
Solve the equation according to the sentence 'I am planning to visit New York to attend International Film Fare Festival'. A = (# of words with Noun as the part of speech tag) B = (# of words with Verb as the part of speech tag) C = (# of words with frequency count greater than one) What are the correct values of A, B, and C?

  1. 5, 5, 2002
  2. 5, 5, 2002
  3. 7, 5, 2001
  4. 7, 4, 2001
  

Question 699 :
Which of these is NOT a feature of pragmatics?

  1. Cultural references
  2. Use of humour and irony
  3. Assumptions about audiences
  4. Cohesion
  

Question 700 :
In Sentiment analysis

  1. List the topics that a document deals with
  2. Assess the emotional content of a document
  3. Compress a document as much as possible without losing meaning, producing another document
  4. Given a question in natural language, provide an appropriate answer in natural language
  

Question 701 :
Co-reference Resolution is –

  1. Anaphora Resolution
  2. Given a sentence or larger chunk of text, determine which words ('mentions') refer to the same objects ('entities')
  3. Counting frequency of define terms.
  4. Notation of vector for every sentence.
  

Question 702 :
Which one of the following is not a pre-processing technique in NLP

  1. Stemming and Lemmatization
  2. Sentiment analysis
  3. Removal of stop words
  4. Converting to lowercase
  

Question 703 :
In The Sentence, 'They Bought A Blue House', The Underlined Part Is An Example Of _____.

  1. Noun Phrase
  2. Verb Phrase
  3. Prepositional Phrase
  4. Adverbial Phrase
  

Question 704 :
Which statement is true

  1. Rule based methods are language independent
  2. Stochastic methods are language independent
  3. It is highly complex task to resolve ambiguities especially at lower levels of NLP
  4. Disambiguation task are is more challenging in Resourceful language as compared to Resourceless language
  

Question 705 :
_________ can specify the results of processes described by utterances in a discourse.

  1. generics
  2. one-anaphora
  3. Inferrables
  4. discontinuous sets
  

Question 706 :
What is the name for information sent from robot sensors to robot controllers?

  1. signal
  2. temperature
  3. feedback
  4. pressure
  

Question 707 :
Generating natural, conversational language that explains complex concepts in a way that is easy to consume.

  1. Intuitive
  2. Relevant
  3. Timely
  4. Space
  

Question 708 :
___________ tagger uses probabilistic and statistical information to assign tags to words.

  1. Rule based
  2. Stochastic tagger
  3. Statistical Tagger
  4. POS tagger
  

Question 709 :
Which of the following technique is used to remove semantic ambiguity?

  1. Fuzzy Logic
  2. Shallow Semantic Analysis
  3. Syntactic analysis
  4. Word Sense Disambiguation
  

Question 710 :
How is the word consultants stemmed?

  1. consultant
  2. consult
  3. consul
  4. consultants
  

Question 711 :
e.g. 'walk', 'talk', 'print' are examples of which type of verb

  1. Regular verb
  2. Irregular verb
  3. Complex verb
  4. Normal verb
  

Question 712 :
What is not the field of Natural Language Processing (NLP)?

  1. Computer Science
  2. Artificial Intelligence
  3. Linguistics
  4. building robot
  

Question 713 :
Which is the true in NLP study?

  1. Machine learning is a subdivision of deep learning.
  2. Shallow learning is the simplest form of deep learning.
  3. Deep learning is a subdivision of machine learning.
  4. NLP is the acronym for Neural Language Processing.
  

Question 714 :
The study of how knowledge about the world and language conventions interact with literal meaning is called as ____________.

  1. Morphology
  2. Discourse analysis
  3. Co reference
  4. Reference Resolution
  

Question 715 :
The study of which words occur together, and their frequency of co-occurrence is called as _______.

  1. Connotation
  2. Collocation
  3. Implication
  4. Location
  

Question 716 :
What is Deixis

  1. A word that is quite hard to spell
  2. Words that are context bound where meaning depends on who is being referred to, where something is happening or when something is happening.
  3. An implied meaning that has to be inferred as a result of a conversational maxim being broken
  4. A word that is quite easy to spell
  

Question 717 :
Porter Stemmer algorithm consists of how many steps

  1. 4
  2. 3
  3. 5
  4. 6
  

Question 718 :
The original Brown tagset uses two of the most commonly used tagsets are__________ - _____________.

  1. 50-tag Penn Treebank tagset, the medium-sized 70 tag C5 tagset
  2. Medium 10-tag Penn Treebank tagset, the medium-sized 21 tag C5 tagset
  3. Small 45-tag Penn Treebank tagset, the medium-sized 61 tag C5 tagset
  4. Medium 87-tag Penn Treebank tagset, the 45 medium-sized 21 tag C5 tagset
  

Question 719 :
Reasoning about time can be facilitated by:

  1. Detection and normalization of temporal expressions.
  2. TimeBank Corpus
  3. Sequence Models
  4. Fixed set of slots
  

Question 720 :
Which Nlp Based System Can Read Out Your Mails On Telephone Or Even Read Out A Story Book For You

  1. Speech Recognition
  2. Machine Translation
  3. Speech Synthesis
  4. Information Retrieval
  
Pages