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WorksheetsNatural Language Processing Quiz
Total questions: 15
Worksheet time: 8mins
What is the process of breaking text into smaller units called?
Normalization
Stemming
Tokenization
Lemmatization
Which task involves assigning grammatical tags to each word in a sentence?
Named Entity Recognition (NER)
Lemmatization
Part-of-Speech (POS) Tagging
Stop Word Removal
What does NER aim to identify and classify in text?
Named entities
Adjectives
Pronouns
Verb tenses
What does Sentiment Analysis involve determining in text?
Syntax errors
Word frequencies
Emotional tone
Spelling mistakes
What is the study of organizing sound systematically called?
Semantics
Syntax
Phonology
Morphology
Which ambiguity occurs when a single word is associated with multiple senses?
Syntactic Ambiguity
Semantic Ambiguity
Lexical Ambiguity
Referential Ambiguity
What is the widely used online grammar checker that offers real-time suggestions?
ProWritingAid
Grammarly
Ginger
LanguageTool
What technique is used to identify and extract relationships between entities mentioned in text?
Relation Extraction
Event Extraction
Named Entity Recognition (NER)
Coreference Resolution
What is the process of dividing a continuous sequence of text into individual words or tokens called?
Stop Word Removal
Word Segmentation
Lemmatization
Normalization
What is the process of identifying and splitting a paragraph or a continuous sequence of text into individual sentences called?
Tokenization
Corpus Annotation
Collocation Analysis
Sentence Segmentation
What do parallel corpora contain?
Annotated syntactic structures
General texts from different sources
Linguistic data for training models
Texts in two or more languages aligned sentence by sentence
What does frequency analysis focus on identifying within the corpus?
Named entities
Part-of-Speech tags
Collocations
Most frequent words
What is the first step in corpora analysis?
Data Preparation
Concordance Analysis
Corpus Exploration
Frequency Analysis
What does part-of-speech (POS) analysis involve tagging words in the corpus with?
Grammatical categories
Semantic labels
Syntactic structures
Sentiment labels
Which technique can be used to predict sentence boundaries based on features like contextual information?
Rule-Based Approaches
Machine Learning Approaches
Pretrained Models
Statistical Tokenization
