From Language Data to Linguistic Intelligence:Challenges for Language Researchers in the Age of Data-Based Intelligence
Data-based artificial intelligence not only has cracked the human"operating system",but also is redefining human knowledge,challenging human cognition in all aspects.Linguists and cognitive scientists in the age of data-based intelligence need to go back to two basic questions:Why can't machines do it well in ways we can understand?Why can machines do it in a way that we can't understand?To solve the mystery of why data emerges with intelligence,we may need to return to real texts,to the probabilistic nature of language.The article argues that in the"Data→Patterns→Knowledge→Network→ Intelligence"chain,the focus of language research can be placed on patterns and networks,thereby contributing disciplinary wisdom to the construction of explainable artificial intelligence.
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