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What does word similarity measure in natural language processing?

easy📝 Conceptual Q11 of 15
NLP - Word Embeddings
What does word similarity measure in natural language processing?
AHow close two words are in meaning using numbers
BHow often two words appear together in a sentence
CThe length difference between two words
DThe number of letters two words share
Step-by-Step Solution
Solution:

  1. Step 1: Understand the concept of word similarity

    Word similarity measures how close two words are in meaning, often represented by a number like cosine similarity.

  2. Step 2: Differentiate from other word properties

    Frequency or letter count does not capture meaning closeness, so those options are incorrect.

  3. Final Answer:

    How close two words are in meaning using numbers -> Option A

  4. Quick Check:

    Word similarity = meaning closeness [OK]
Quick Trick: Similarity means meaning closeness, not letter or frequency count [OK]
Common Mistakes:
MISTAKES
  • Confusing similarity with word frequency
  • Thinking similarity is about word length
  • Assuming similarity counts shared letters

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