How can we assess the quality of NLP translations?
There are several methods to assess NLP translation quality, including BLEU scores, human evaluations, and contextual analysis.
What is a BLEU score and how is it calculated?
A BLEU score measures the overlap between machine-generated translations and reference translations, calculated using n-grams.
Are there any limitations to using BLEU scores?
Yes, BLEU scores may not capture semantic meaning or fluency, and they can be biased towards shorter translations.
What are some human evaluation methods for translation quality?
Human evaluations can include direct assessments, ranking translations, and using metrics like adequacy and fluency.
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