Multiple Choice Questions - NLP

What is the main goal of Natural Language Processing (NLP)?

• To analyze images using AI

• To handle human language using computers

• To translate code into multiple programming languages

• To generate video content

Which of the following is NOT an NLP task?

• Text summarization

• Image classification

• Question answering

• Text generation

Which method uses linguistic rules and grammar for translation?

• Statistical MT

• Rule-based MT

• Neural MT

• Hybrid MT

What does Named Entity Recognition (NER) do?

• Generates random text

• Identifies sentiment in a sentence

• Classifies named entities in text

• Translates text into another language

Which technique is commonly used in text completion tasks?

• Decision Trees

• Rule-based logic

• Transformer-based language models

• Frequency analysis

Which NLP task involves classifying text as positive, negative, or neutral?

• NER

• Sentiment Analysis

• Summarization

• Translation

What is the purpose of fine-tuning in NLP systems?

• To translate languages more accurately

• To generate rules for language

• To train a model on paired input-output data

• To define keyword-based patterns

What does extractive summarization do?

• Paraphrases content in a shorter form

• Generates summaries from scratch

• Selects key sentences from original text

• Removes punctuation and stop words

Which NLP task assigns text to predefined categories?

• Translation

• Text Completion

• Text Classification

• Question Answering

What is a key feature of information retrieval-based QA systems?

• They generate new questions

• They match question meaning with keywords or concepts

• They classify the sentiment of a text

• They translate documents