Which linguistic innovation significantly improved retail chatbots' ability to understand customer intent across multiple languages in the 2010s?

Retail chatbots have revolutionized customer service by incorporating advanced linguistic technologies. These AI assistants must understand natural language, detect intent, and respond appropriately across multiple languages and dialects. Behind their seemingly simple interfaces lies complex language processing that combines computational linguistics, machine learning, and sociolinguistic understanding. This poll tests your knowledge about the linguistic foundations that power modern retail chatbot systems.

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BERT (Bidirectional Encoder Representations from Transformers) with contextual embeddings
LSI (Latent Semantic Indexing) with dictionary-based translations
Recursive Neural Networks with parallel corpus training
Statistical Part-of-Speech tagging with sentiment analysis