NLP Quiz for MCA Students

Which of the following is an example of lexical analysis in NLP?

• Sentiment analysis

• Tokenization

• Named entity recognition

• POS tagging

In NLP, what is the process of reducing a word to its base or root form?

• Lemmatization

• Tokenization

• Parsing

• Chunking

Which NLP technique is used to split text into sentences?

• Sentence segmentation

• POS tagging

• Lemmatization

• Stemming

What is the full form of POS tagging in NLP?

• Part of Sentence

• Piece of Syntax

• Part of Speech

• Position of Syntax

Which one is NOT a stop word in English typically used in NLP?

• The

• Is

• Quickly

• An

Which algorithm is commonly used for Named Entity Recognition (NER)?

• Naive Bayes

• Hidden Markov Model

• Decision Trees

• Apriori

Which technique is used to convert text into numerical vectors in NLP?

• Tokenization

• Word Embeddings

• Clustering

• Translation

Which of the following is a pre-trained word embedding model?

• VGGNet

• Word2Vec

• DBSCAN

• GPT

Which deep learning model is mainly used for machine translation tasks?

• CNN

• Transformer

• SVM

• Random Forest

Which of the following tasks is NOT part of information extraction?

• Named Entity Recognition

• Co-reference Resolution

• Sentiment Classification

• Relationship Extraction