Question 91 :
Rule-based POS taggers doesnt possess which of the following properties
- The rules in Rule-based POS tagging are built auto
- These taggers are knowledge-driven taggers
- These taggers are consist of many hand written rules
- The information is coded in the form of rules.
Question 92 :
What is morphology?
- The study of the rules governing the sounds that form words
- The study of the rules governing sentence formation
- The study of the rules governing word formation
- The study of the rules governing the sounds that form sentence
Question 93 :
Which Of The Following Model Is Used For Speech Recognition?
- Lemmatization Model
- Hidden Markov Model
- Finite State Transducers Model
- Grammer Model
Question 94 :
Which Application Of Nlp Deals With Mapping Of Acoustic Speech Signal To A Set Of Words
- Speech Recognition
- Machine Translation
- Speech Synthesis
- Information Retrieval
Question 95 :
Trains two independent LSTM language model left to right and right to left and shallowly concatenates them
- GPT
- BERT
- ULMFit
- ELMo
Question 96 :
What are the input and output of an NLP system?
- Speech and noise
- Speech and Written Text
- Noise and Written Text
- Noise and value
Question 97 :
Which NLP application involves conversion of Hindi text into SQL queries
- Natural Language Convertion to Database
- Information retrieval
- Natural Language Extraction from Database
- Natural Language Interface to Database
Question 98 :
A program that captures and indexes content from web pages is known as what insect:
- Fly
- Centipede
- Mosquito
- Spider
Question 99 :
How does the state of the process is described in HMM?
- Literal
- Single random variable
- Single discrete random variable
- Literal and Single random variable
Question 100 :
Words with just one free morpheme are
- Simple words
- Complex words
- Joint Words
- Compound words
Question 101 :
Define pragmatics
- A subfield of linguistics and semiotics that studies the ways in which context contributes to meaning.
- Features that appear when we put sounds together in connected speech.
- Some definitions limit this to verbal communication that is not words.
- The process of syntax checking
Question 102 :
The __________________ summarization technique involves pulling keyphrases from the source document.
- Extractive
- Abstractive
- Regular
- Automatic
Question 103 :
What Is Full Form Of Nlp?
- Natural Language Processing
- Nature Language Processing
- Natural Language Process
- Natural Language Pages The Stage Of Nlp Were Processing Of Sequence Of Sentences Is Done Is Called As M
Question 104 :
I appoint you chairman of the committee is which type of speech act?
- Commissives
- Directives
- Declarations
- Representatives
Question 105 :
What Will Be The Perplexity Value If You Calculate The Perplexity Of An Unsmoothed Language Model On A Test Corpus With Unseen Words?
- Zero
- Infinity
- Any Non-Zero Value
- Inefficient
Question 106 :
Named entity recognition is a technqiue to locate and classify __________ entities in unstructured text.
- Proper Nouns
- Verb
- Adjective
- Preposition
Question 107 :
Consider the statement: Ban on dancing on Governor's desk. would be interpreted as:
- (Ban (on dancing)) (on Governor's desk)
- (Ban on ((dancing) on Governor's desk)
- (Ban (on dancing on Governor's desk))
- (Ban on (dancing ) on ((governor’s)) desk)
Question 108 :
What is 'indefinite noun phrases' in reference phonomena?
- Introduces entities that are new to the hearer into the discourse context
- Introduces entities that are previous or old to the hearer into the discourse context
- Entities that accept the irregular pharses
- Entities that accept the regular pharses
Question 109 :
In NLP, The process of removing words like 'and', 'is', 'a', 'an', 'the' from a sentence is called as
- Stemming
- Lemmatization
- Stop word
- derivation
Question 110 :
the study of the meaning of words, phrases, and sentences (meaning in a language)
- Semantic roles
- homonyms
- location
- semantics
Question 111 :
It is not type of text summarization
- Extraction based
- Abstraction based
- Predicted based
- Information based
Question 112 :
______________ deals with analyzing emotions, feelings and attitude of speaker or writer from given piece of text
- Semantic Analysis
- Sentiment Analysis
- Information Retrival
- Text classification
Question 113 :
When did first patent's for transating machine were applied for
- In the mid of 1930
- at the end of 1930
- In the begining of 1930
- In the mid of 1931
Question 114 :
Which of the following is not a primitive operation of a regular expression?
- Concatenation
- Closure
- Union
- Projection
Question 115 :
The statement 'Which mobiles can you show me in your shop?' can be represented as
- N->Wh-NP Aux NP VP
- S->Wh-NP Aux NP NP
- S->Wh-VP Aux NP VP
- S->Wh-NP Aux NP VP
Question 116 :
Visiting relatives can be boring
- The text is unambiguous
- The text is ambiguous
- The text clear and precise
- The text is indisputable
Question 117 :
Where the additional variables does are added in HMM?
- Temporal model
- Reality model
- Probability model
- In all three models, temporal, reality and probability model
Question 118 :
Syntax Analyser is also known as __________________.
- Hierarchical Analysis
- Sequential Analysis
- General Analysis
- Hierarchical Analysis and Parsing
Question 119 :
Named Entity Recognition means:
- Finding spans of text that constitute proper names and then classifying the type of the entity.
- Mapping between name and entity.
- Classification of text into subject and predicates.
- Searching text for proper nouns.
Question 120 :
________________ used to point to things (it, this, these) and people (him, them, those idiots).
- Spatial deixis
- Pragmatics
- Temporal deixis
- Personal deixis