NLP - Text Generation
Given a list
words = ['data', 'science', 'rocks'], which Python list comprehension correctly generates bigrams?Given a list words = ['data', 'science', 'rocks'], which Python list comprehension correctly generates bigrams?
easy📝 Syntax Q3 of 15
Step-by-Step Solution
Solution:
Step 1: Understand bigrams
Bigrams are pairs of consecutive words, so indices must be adjacent.Step 2: Check list comprehension range
To avoid index out of range, iterate up tolen(words)-1.Step 3: Verify each option
[(words[i], words[i+1]) for i in range(len(words)-1)] correctly pairswords[i]andwords[i+1]for valid indices.Final Answer:
[(words[i], words[i+1]) for i in range(len(words)-1)] -> Option AQuick Check:
Range must prevent index overflow [OK]
Quick Trick: Use range(len(words)-1) for bigrams [OK]
Common Mistakes:
MISTAKES- Using range(len(words)) causes index error
- Skipping the last bigram by incorrect range
- Pairing non-adjacent words
Master "Text Generation" in NLP
Want More Practice?
15+ quiz questions · All difficulty levels · Free
Free Signup - Practice All QuestionsMore NLP Quizzes