Natural Language Processing Quiz

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

• Translate human language into computer code

• Create new programming languages

• Bridge the gap between human communication and machine understanding

• Improve image recognition accuracy

Which of the following is NOT a core area of NLP?

• Speech recognition

• Machine translation

• Image segmentation

• Text processing

Why is text preprocessing important in NLP?

• It removes valuable insights

• It makes the text harder to interpret

• It reduces data quality

• It cleans messy data and improves model accuracy

What does tokenization do?

• Encrypts the text

• Splits text into smaller units like words or sentences

• Translates text into another language

• Summarizes long texts

Which type of tokenization is used by models like BERT or GPT?

• Sentence tokenization

• Word tokenization

• Subword tokenization

• Character tokenization

What is the risk of removing all stopwords during preprocessing?

• It makes training faster

• It increases vocabulary size

• It can remove important words like 'not' and change meaning

• It improves context understanding

What is Part-of-Speech (POS) tagging?

• Removing unwanted characters from text

• Splitting text into subwords

• Assigning grammatical categories to each word

• Detecting spam messages

What does Named Entity Recognition (NER) identify in text?

• Spelling errors

• Sentiment polarity

• Named entities like people, dates, and locations

• Text length

What is the purpose of vectorization in NLP?

• Translate text into speech

• Convert text into numerical format for machine learning

• Compress text files

• Detect named entities

Which method considers the importance of words across the entire corpus?

• Bag of Words

• Lemmatization

• Word Embeddings

• TF-IDF