Which innovative NLP product development approach first enabled machines to understand word meanings in context rather than just as isolated symbols?

Natural Language Processing (NLP) has transformed how products interact with human language. From simple spell-checkers to advanced AI assistants that understand context and nuance, the development trajectory of language technologies has been remarkable. This poll tests your knowledge about a pivotal moment in NLP product development that changed how we interact with language technologies today.

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Word2Vec embeddings (2013)
Rule-based grammar systems (1980s)
Statistical n-gram models (1990s)
Dictionary-based lookup algorithms (2000s)