MCQs on Natural Language Processing

Which of the following is a use case for regular expressions in NLP?

• Data visualization

• Parsing numerical data only

• Tokenization

• Speech recognition

What does the Kleene star (*) operator represent in regular expressions?

• Exactly one occurrence

• Zero or more occurrences

• One or more occurrences

• End of string

Which of the following is a valid anchor in a regular expression?

• *

• +

• ^

• @

What is the role of word_tokenize() in NLTK?

• Text summarization

• Named Entity Recognition

• Tokenizing text into words

• Translation

Which type of corpus contains aligned texts in two languages?

• Monolingual Corpus

• Parallel Corpus

• Annotated Corpus

• Raw Corpus

Which of the following best describes a lemma?

• A derived form of a word

• A set of inflected forms sharing the same base meaning

• A group of named entities

• A text segment

In text normalization, which step comes first?

• Lemmatization

• Lowercasing

• Removing stop words

• Tokenization

Which operation is not part of minimum edit distance?

• Insertion

• Merging

• Deletion

• Substitution

Which metric is used to evaluate the effectiveness of a language model?

• Precision

• Recall

• Perplexity

• Entropy

Which smoothing technique is used to handle data sparsity in n-gram models?

• Padding

• Dropout

• Smoothing

• Pooling