NLP FT1

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

• To translate human languages into machine code

• To enable machines to understand, interpret, and generate human language

• To convert text into images

• To perform mathematical computations

Which of the following is NOT a typical NLP application?

• Speech recognition

• Image classification

• Machine translation

• Text summarization

What is the first step in any NLP pipeline?

• Morphological Analysis

• Tokenization

• Semantic Analysis

• Syntactic Parsing

What does "Morphology" in NLP refer to?

• Structure and meaning of words

• Arrangement of words in sentences

• Contextual meaning of words

• Relationship between words

Which step in NLP deals with the grammatical structure of sentences?

• Morphological Analysis

• Syntax Analysis

• Semantic Analysis

• Pragmatic Analysis

Semantic Analysis in NLP focuses on:

• Identifying parts of speech

• Understanding the meaning of words and sentences

• Generating new sentences

• Arranging words in order

What is the main goal of Morphological Parsing?

• To extract meaning from sentences

• To split words into their root forms and affixes

• To tag words with their grammatical roles

• To correct grammatical errors

Which of the following is an example of morphological parsing?

• "Running" → "Run" + "ing"

• "He runs fast" → "He" "runs" "fast"
  
  

• "The cat sat on the mat" → "Noun Verb Preposition Article Noun"

• "Translate" → "Translation"

What is the primary difference between stemming and lemmatization?

• Stemming gives a root word without considering grammar, while lemmatization gives a linguistically correct root word

• Lemmatization is faster than stemming

• Stemming is used only for English, while lemmatization is used for all languages

• Stemming always produces meaningful words

Which of the following is an example of stemming?

• "Running" → "Run"

• "Running" → "Runn"

• "Better" → "Good"

• "Went" → "Go"