MCQs

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Overall MCQs for Reference

Which programming language is primarily used for NLTK?
a. Java
b. Python
c. C++
d. R
Answer: b. Pythonrealpython+1
What does NLTK stand for?
a. Natural Learning Toolkit
b. Natural Language Toolkit
c. Network Language Tool Kit
d. Neural Language Toolkit
Answer: b. Natural Language Toolkititerate+1
Which task is commonly performed by NLTK?
a. Image segmentation
b. Text tokenization
c. Speech synthesis
d. Video annotation
Answer: b. Text tokenizationtechnaureus+1
What is “tokenization” in NLP?
a. Encrypting data
b. Translating text
c. Splitting text into words or sentences
d. Classifying images
Answer: c. Splitting text into words or sentencesiterate+1
Which function is used for word tokenization in NLTK?
a. nltk.word_token()
b. nltk.tokenize.words()
c. nltk.word_tokenize()
d. nltk.tokenize_word()
Answer: c. nltk.word_tokenize()nltk+1
“Stopwords” in NLTK refers to:
a. Words to emphasize
b. Words to ignore like “the”, “is”, etc.
c. Code comments
d. Programming keywords
Answer: b. Words to ignore like “the”, “is”, etc.geeksforgeeks+1
How can you access stopwords in NLTK?
a. nltk.remove_stopwords()
b. nltk.corpus.stopwords.words()
c. stopwords.remove()
d. nltk.stopword_list()
Answer: b. nltk.corpus.stopwords.words()geeksforgeeks+1
Which function is used in NLTK for sentence tokenization?
a. nltk.tokenize.sentences()
b. nltk.sent_tokenize()
c. nltk.sentence_tokenize()
d. nltk.tokenize.sentence()
Answer: b. nltk.sent_tokenize()wayground+1
What is stemming in NLP?
a. Grouping sentences
b. Reducing words to their root form
c. Summarizing text
d. Expanding contractions
Answer: b. Reducing words to their root formtechnaureus+1
Which NLTK class is commonly used for stemming English words?
a. StemPorter
b. PorterStemmer
c. Lemmatizer
d. WordStemmer
Answer: b. PorterStemmerwayground+1
What does POS tagging stand for?
a. Part-of-sentence tagging
b. Part-of-speech tagging
c. Position-of-string tagging
d. Pattern-of-syntax tagging
Answer: b. Part-of-speech taggingiterate+1
Which function in NLTK is used for POS tagging?
a. nltk.tag_pos()
b. nltk.pos_tag()
c. nltk.tagging.pos()
d. nltk.PosTag()
Answer: b. nltk.pos_tag()realpython+1
What does “corpus” refer to in NLTK?
a. A function library
b. A collection of texts
c. An algorithm
d. A programming language
Answer: b. A collection of textsgtbit+1
Which corpus is NOT included in NLTK?
a. Brown Corpus
b. Penn Treebank Corpus
c. Gutenberg Corpus
d. Common Crawl Corpus
Answer: d. Common Crawl Corpusnltk+1
What is lemmatization?
a. Removing stopwords
b. Finding text topics
c. Reducing words to their base or dictionary form
d. Tokenizing text
Answer: c. Reducing words to their base or dictionary formtechnaureus+1
Which of these is an NLTK lemmatizer?
a. PorterStemmer
b. LancasterStemmer
c. WordNetLemmatizer
d. TextBlobLemmatizer
Answer: c. WordNetLemmatizerrealpython+1
What does the NLTK “FreqDist” function compute?
a. Sentence distance
b. Frequency distribution of words
c. Document similarity
d. Named entity relations
Answer: b. Frequency distribution of wordsnltk+1
Which corpus can be used for training a POS tagger in NLTK?
a. IMDB
b. Penn Treebank
c. MNIST
d. ImageNet
Answer: b. Penn Treebankwayground+1
In NLTK, which function is used for n-gram generation?
a. nltk.generate()
b. nltk.ngrams()
c. nltk.util.ngrams()
d. nltk.n_gram()
Answer: c. nltk.util.ngrams()realpython+1
Which of the following is NOT a stemmer in NLTK?
a. PorterStemmer
b. SnowballStemmer
c. LancasterStemmer
d. BaseStemmer
Answer: d. BaseStemmerwayground+1
For which machine learning task is NLTK NOT typically used?
a. Image classification
b. Sentiment analysis
c. Named entity recognition
d. Text classification
Answer: a. Image classificationigmguru+1
What is the primary language of the Brown corpus?
a. Spanish
b. English
c. French
d. Hindi
Answer: b. Englishnltk+1
Which NLTK function helps to split a paragraph into sentences?
a. nltk.split()
b. nltk.sent_tokenize()
c. nltk.sentence_split()
d. nltk.tokenize_sentences()
Answer: b. nltk.sent_tokenize()wayground+1
What is the output type of nltk.word_tokenize()?
a. String
b. Dictionary
c. List
d. Integer
Answer: c. Listrealpython+1
Which NLTK tool can be used to chunk (group) phrases in text?
a. Chunker
b. RegexpParser
c. PhraseTagger
d. SyntaxChunker
Answer: b. RegexpParsernltk+1
What is the primary use of the ‘stopwords’ corpus in NLTK?
a. Text compression
b. Removing common but insignificant words
c. Normalizing numbers
d. Creating new algorithms
Answer: b. Removing common but insignificant wordsgeeksforgeeks+1
Which is NOT a valid POS tag in the Penn Treebank tag set?
a. NN
b. VB
c. JJ
d. XX
Answer: d. XXwayground+1
NLTK’s ‘concordance’ function helps in:
a. Plotting graphs
b. Displaying word context in text
c. Removing stopwords
d. Stemming documents
Answer: b. Displaying word context in textrealpython+1
What is a Named Entity Recognizer (NER)?
a. A POS tagger
b. An algorithm that extracts real-world objects from text
c. A lemmatizer
d. A spell checker
Answer: b. An algorithm that extracts real-world objects from textiterate+1
Which module would you use to draw a dispersion plot in NLTK?
a. nltk.plots
b. nltk.draw
c. nltk.text
d. nltk.graphics
Answer: c. nltk.textnltk+1
Which file format is NOT typically used by NLTK corpora?
a. TXT
b. XML
c. JPEG
d. JSON
Answer: c. JPEGrealpython+1
Which corpus provides a list of commonly used English words for stopword removal?
a. Gutenberg
b. stopwords
c. wordnet
d. webtext
Answer: b. stopwordsgeeksforgeeks+1
What does the function nltk.download() do?
a. Installs Python
b. Installs NLTK package
c. Downloads NLTK datasets/corpora
d. Uninstalls NLTK
Answer: c. Downloads NLTK datasets/corporanltk+1
Which stemmer is the most aggressive among those in NLTK?
a. PorterStemmer
b. SnowballStemmer
c. LancasterStemmer
d. WordNetLemmatizer
Answer: c. LancasterStemmerrealpython+1
Which function in NLTK can count the frequency of each token in a list?
a. CountTokens()
b. unique_counts()
c. FreqDist()
d. word_count()
Answer: c. FreqDist()nltk+1
The output of nltk.pos_tag([‘cat’, ‘sits’]) is:
a. [(‘cat’, ‘NN’), (‘sits’, ‘VBZ’)]
b. {‘cat’: ‘NN’, ‘sits’: ‘VBZ’}
c. [‘cat’, ‘NN’, ‘sits’, ‘VBZ’]
d. [(‘cat’, ‘VB’), (‘sits’, ‘NN’)]
Answer: a. [(‘cat’, ‘NN’), (‘sits’, ‘VBZ’)]realpython+1
Which package comes built-in for lemmatization in NLTK?
a. WordNet
b. CMUdict
c. Brown
d. Text8
Answer: a. WordNetnltk+1
What does nltk.collocations.BigramAssocMeasures() help to identify?
a. Image pairs
b. Frequent bigram phrases in text
c. Numeric associations
d. Stopwords
Answer: b. Frequent bigram phrases in textrealpython+1
Which function in NLTK helps find synonyms and antonyms?
a. nltk.syn_ant()
b. nltk.corpus.wordnet
c. nltk.synset()
d. nltk.lexicon()
Answer: b. nltk.corpus.wordnetnltk+1
What is ‘chunking’ in NLP?
a. Dividing text into unrelated paragraphs
b. Grouping words into meaningful phrases
c. Calculating text sum
d. Removing stopwords
Answer: b. Grouping words into meaningful phrasesrealpython+1
For what purpose is the NLTK NaiveBayesClassifier used?
a. Finding stopwords
b. Text classification
c. Stemming
d. Tokenization
Answer: b. Text classificationnltk+1
In NLTK, what does corpus.words(‘en’) return?
a. List of sentences
b. List of English words
c. Document titles
d. Paragraphs
Answer: b. List of English wordsrealpython+1
How do you access the Gutenberg corpus in NLTK?
a. nltk.corpus.gutenberg
b. nltk.gutenberg()
c. nltk.read_gutenberg()
d. nltk.corpus.gut()
Answer: a. nltk.corpus.gutenbergnltk+1
Which method is best for removing punctuation in text processing?
a. nltk.punctuation.remove()
b. Use string.punctuation and filtering
c. nltk.clean_punct()
d. strip_punctuation()
Answer: b. Use string.punctuation and filteringrealpython+1
For topic modeling, which library is often combined with NLTK?
a. pandas
b. Gensim
c. NumPy
d. SciPy
Answer: b. Gensimtechnaureus+1
Named Entity Recognition (NER) in NLTK is performed using:
a. ne_chunk()
b. name_tag()
c. entity_recognizer()
d. name_chunk()
Answer: a. ne_chunk()nltk+1
What role does NLTK play in sentiment analysis?
a. Hardware acceleration
b. Providing tools to preprocess, tokenize, and classify text
c. Generating images
d. Data encryption
Answer: b. Providing tools to preprocess, tokenize, and classify textigmguru+1
What is the command to import the word_tokenize function from NLTK?
a. from nltk.tokenize import word_tokenize
b. import word_tokenize from nltk.tokenize
c. from tokenization import word_tokenize
d. from nltk.word_tokenize import tokenize
Answer: a. from nltk.tokenize import word_tokenizerealpython+1
What is the result of calling nltk.word_tokenize(“Hello World!”)?
a. [“Hello World!”]
b. [“Hello”, “World”, “!”]
c. [“Hello”, “World!”]
d. [“Hello”, “World”]
Answer: b. [“Hello”, “World”, “!”]nltk+1
Which function is used in NLTK to create frequency plots of word usage?
a. plot_words()
b. FreqDist().plot()
c. wordgraph.plot()
d. plt.freq()
Answer: b. FreqDist().plot()realpython+1

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