Which linguistic phenomenon created significant challenges for early retail NLP systems but has become a valuable feature in modern e-commerce search algorithms?

Natural Language Processing (NLP) has transformed how consumers discover and interact with products online. Sophisticated language models now power search engines, recommendation systems, and customer service chatbots in e-commerce. Behind these advancements are complex linguistic principles and machine learning algorithms that analyze semantic relationships, sentiment, and user intent. Test your knowledge about how language technology is reshaping the retail landscape!

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Polysemy (words having multiple meanings, like 'light' shirt vs. 'light' weight)
Onomatopoeia (words that phonetically imitate sounds they describe, like 'buzz' or 'splash')
Alliteration (repetition of consonant sounds, as in 'Peter Piper picked')
Palindromes (words that read the same backward as forward, like 'level')