MCQs

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Overall MCQs for Reference

Which technique analyzes the grammatical structure of a sentence in NLP?
a. Classification
b. Parsing
c. Clustering
d. Tokenization
Answer: b. Parsinggtbit+1
What is the main goal of parsing in machine learning?
a. Data visualization
b. Extract structure from unstructured input
c. Feature scaling
d. Hyperparameter tuning
Answer: b. Extract structure from unstructured inputpromptcloud+1
Which parser type uses leftmost derivation?
a. LR parser
b. Predictive parser
c. LL parser
d. SLR parser
Answer: c. LL parsertestbook+1
Which parsing technique is best for deterministic context-free languages?
a. LR(1)
b. LALR(1)
c. Recursive Descent
d. Top-Down
Answer: a. LR(1)geeksforgeeks+1
What do bottom-up parsers generate during parsing?
a. Leftmost derivation
b. Rightmost derivation in reverse
c. Syntax tree directly
d. Semantic graph
Answer: b. Rightmost derivation in reversetestbook
Which parsing method is most powerful?
a. LL(1)
b. SLR
c. LALR
d. LR(1)
Answer: d. LR(1)geeksforgeeks+1
Predictive parsing is a form of:
a. Bottom-up parsing
b. Top-down parsing
c. Semantic parsing
d. Statistical parsing
Answer: b. Top-down parsinginterviewbit+1
Which parser technique uses lookahead to decide productions?
a. LR parser
b. Predictive parser
c. Shift-reduce parser
d. Semantic parser
Answer: b. Predictive parsertestbook
Which algorithm can parse any context-free grammar in time?
a. QuickSort
b. CYK
c. Dijkstra
d. KMP
Answer: b. CYKtestbook
In machine learning, what does data parsing facilitate?
a. Data visualization
b. Data cleaning and organizing
c. Feature selection
d. Model evaluation
Answer: b. Data cleaning and organizingscrapingant+1
What tool is popular for data parsing in Python?
a. Matplotlib
b. Pandas
c. PyTorch
d. TensorFlow
Answer: b. Pandaspromptcloud
Which parser type starts with the start symbol?
a. Bottom-up
b. Top-down
c. Shift-reduce
d. LR
Answer: b. Top-downscaler
What is the process of converting structured or semi-structured data to model-ready input?
a. Parsing
b. Data augmentation
c. Label encoding
d. Splitting
Answer: a. Parsingscaler+1
Which parsing technique is used for program compilers?
a. Semantic parsing
b. Syntactic parsing
c. Statistical parsing
d. Rule-based parsing
Answer: b. Syntactic parsinglyzr+1
In document parsing, which deep learning method is used for text extraction?
a. CNN
b. SVM
c. RNN/Transformer
d. Decision Tree
Answer: c. RNN/Transformerchatbase
In NLP parsing, which structure is first built?
a. Sentiment graph
b. Syntax tree
c. Data frame
d. Entity diagram
Answer: b. Syntax treestudocu+1
What is ambiguous grammar?
a. Grammar producing no parse trees
b. Grammar producing one parse tree per sentence
c. Grammar producing multiple parse trees for some sentences
d. Grammar not used for parsing
Answer: c. Grammar producing multiple parse trees for some sentencesgtu-mcq
Which parsing technique uses grammar rules and statistical models?
a. Grammar-driven
b. Data-driven
c. Hybrid
d. Semantic-driven
Answer: c. Hybridieeexplore.ieee+1
Which ML method can parse images and videos?
a. Decision Trees
b. CNN
c. SVM
d. Naive Bayes
Answer: b. CNNscrapingant
What is the purpose of parsing web data for ML?
a. Enhance model accuracy
b. Compress images
c. Remove data duplication
d. Optimize algorithms
Answer: a. Enhance model accuracyscrapingant+1
Which parser handles tokens using a stack?
a. Top-down parser
b. Shift-reduce parser
c. Predictive parser
d. Semantic parser
Answer: b. Shift-reduce parsertestbook
What is the first step in implementing parsing?
a. Analyze output
b. Preprocess text
c. Select parser
d. Define objectives
Answer: d. Define objectiveslyzr
Which parser is used in adaptive web scraping?
a. Statistical parser
b. ML-based parser
c. Regex parser
d. Boolean parser
Answer: b. ML-based parserchatbase+1
Which parsing technique works with tokenized input?
a. Feature parsing
b. Predictive parsing
c. Semantic parsing
d. Generative parsing
Answer: b. Predictive parsingtestbook
In data parsing, which approach uses probabilistic methods?
a. Grammar-driven
b. Data-driven
c. Rule-based
d. Semantic-driven
Answer: b. Data-drivenscrapingant
What parser does spaCy use for dependency parsing?
a. LL parser
b. Transition-based parser
c. Stack-based parser
d. Semantic parser
Answer: b. Transition-based parserchatbase
What is the main challenge in NLP parsing?
a. Tokenization
b. Ambiguity
c. Model complexity
d. Data visualization
Answer: b. Ambiguityaimcqs+1
Which parsing type breaks input into grammatical components?
a. Feature parsing
b. Syntax parsing
c. Semantic parsing
d. Scope parsing
Answer: b. Syntax parsinglyzr+1
What is the function of semantic analysis in parsing?
a. Ensures grammatical correctness
b. Ensures semantic correctness
c. Builds parse tree
d. Tokenizes input
Answer: b. Ensures semantic correctnesstestbook
Which parser generates parse trees by recursively expanding non-terminals?
a. Predictive parser
b. Recursive descent parser
c. Shift-reduce parser
d. Bottom-up parser
Answer: b. Recursive descent parserinterviewbit+1
Parsing in ML can be improved by which learning technique over time?
a. Reinforcement learning
b. Transfer learning
c. Ensemble learning
d. Supervised learning
Answer: a. Reinforcement learningscrapingant
Which algorithm uses lookahead for parsing?
a. Recursive descent
b. Shift-reduce
c. Predictive
d. Stack
Answer: c. Predictivetestbook
Which parser is best for compilers handling complex grammars?
a. LL parser
b. LR parser
c. SLR parser
d. LALR parser
Answer: b. LR parsergeeksforgeeks+1
Which MCQ parsing technique handles both ambiguous and large data efficiently?
a. Data-driven
b. Grammar-driven
c. Rule-based
d. Manual parsing
Answer: a. Data-drivendocsumo+1
Which parsing method is suitable for unstructured data in ML?
a. XML parser
b. Rule-based parser
c. ML-based parser
d. Syntactic parser
Answer: c. ML-based parserdocsumo+1
In speech recognition, what does parsing enable?
a. Audio compression
b. Text-to-speech
c. Extract meaningful info
d. Calculate frequency
Answer: c. Extract meaningful infolyzr+1
Parsing a sentence helps identify:
a. Data types
b. Syntactic relationships
c. Hyperparameters
d. Loss values
Answer: b. Syntactic relationshipsscaler+1
Which parsing task is crucial for sentiment analysis in ML?
a. Data cleaning
b. Sentiment parsing
c. Syntax parsing
d. Tokenization
Answer: b. Sentiment parsingaimcqs+1
Which parsing approach works well with human language understanding?
a. Statistical parsing
b. Rule-based parsing
c. Hybrid parsing
d. Semantic parsing
Answer: c. Hybrid parsingdocsumo+1
What is the main application of document parsing in ML?
a. Feature engineering
b. Information extraction
c. Dimensionality reduction
d. Loss computation
Answer: b. Information extractionchatbase+1
What does dependency parsing determine in NLP?
a. The relationship between words
b. Image classification
c. Feature matching
d. Outlier removal
Answer: a. The relationship between wordsscaler+1
Which parsing method uses annotated datasets for improvement?
a. Supervised parsing
b. Unsupervised parsing
c. Reinforcement parsing
d. Rule parsing
Answer: a. Supervised parsingdocsumo+1
Which ML library is highly used for parsing JSON files?
a. TensorFlow
b. Pandas
c. NLTK
d. Keras
Answer: b. Pandaspromptcloud
Which step follows preprocessing in parsing workflows?
a. Benchmark validation
b. Running parsing algorithm
c. Feature selection
d. Model building
Answer: b. Running parsing algorithmlyzr
What is finite-state parsing in NLP?
a. Parsing using finite state machines
b. Parsing infinite trees
c. Parsing by recursion
d. Semantic parsing only
Answer: a. Parsing using finite state machinesscaler
What transition-based parsers rely on for document layout analysis?
a. Statistical models
b. CNNs
c. Feature graphs
d. Syntax trees
Answer: b. CNNschatbase
The process of parsing helps extract which feature from data?
a. Relationships and structure
b. Class labels
c. Loss values
d. Hyperparameters
Answer: a. Relationships and structurelyzr+1
What is the benefit of parsing large web datasets for ML?
a. Increased accuracy
b. Reduced computational cost
c. Enhanced visualization
d. Improved model compression
Answer: a. Increased accuracypromptcloud+1
Which parser type starts at the leaves and works toward the root?
a. Top-down
b. Bottom-up
c. Predictive
d. Recursive descent
Answer: b. Bottom-upscaler
In ML, which parsing type facilitates transforming nested data structures?
a. Statistical parsing
b. JSON/XML parsing
c. Rule-based parsing
d. Feature parsing
Answer: b. JSON/XML parsingpromptcloud+1

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