Metrics in NLP
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Machine Learning
Performance Metrics
Interview questions on Performance Metrics.
14 questions
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Metrics in NLP
Q2. How can we calculate Word Error Rate (WER)?
Metrics in NLP
Q3. How do you compute the WER over an entire dataset?
Metrics in NLP
Q4. What are the main advantages and disadvantages of using WER?
Metrics in NLP
Q5. How is Word Accuracy Rate related to WER?
Metrics in NLP
Q6. What does the BLEU score measure?
Metrics in NLP
Q7. What are the key components of BLUE score?
Metrics in NLP
Q8. What is the formula for the BLEU score, and how is it typically computed?
Metrics in NLP
Q9. What are the strengths and weaknesses of the BLEU score?
Metrics in NLP
Q10. How does BLEU compare to other metrics like ROUGE or METEOR?
Metrics in NLP
Q11. What is Perplexity and how is it used in evaluating language models?
Metrics in NLP
Q12. What are the bounds of Perplexity and what does it indicate?
Metrics in NLP
Q13. What are the limitations of using Perplexity as a metric?
Metrics in NLP