What Language Models Can Teach Us About Linguistics

Picture this: Norm, the formal linguist, and Claudette, the computational language scientist, are deep in conversation about the role of modern language models in linguistics. Before they can say goodbye, 25 more experts from fields like neuroscience, psychology, and computer science join the discussion. It's a full-blown intellectual party.

The String Statistics Strawman

One hot topic on the table is the so-called String Statistics Strawman. Some folks argue that language models, because they primarily deal with statistical patterns in text, can't truly understand language. But let's be real. Are we underestimating the potential of these models? Sure, they're not human. But dismissing them outright seems shortsighted.

In fact, comparing modern language models to their Markov model predecessors is like comparing a bicycle to a Tesla. Both are modes of transport, but they function on entirely different levels. The advancements in AI have made language models far more than mere string crunchers. They're potentially valuable tools for linguistic research.

Beyond Today's Limitations

Then there's the As Good As it Gets Assumption. Some argue we've hit the ceiling on what language models can tell us about linguistics. Bold claim, isn't it? But history shows us that research often defies limitations. What if we're just scratching the surface of what these models can offer?

So why should we care? Because opening our minds to the possibilities of language models could revolutionize our understanding of human language. Rather than seeing them as threats to traditional linguistics, we should see them as allies. The future might hold breakthroughs we can't yet imagine.

The Path Forward

What’s the takeaway here? This lively debate among experts highlights the need for a more expansive research program in the language sciences. By addressing the concerns of these commentators, we might develop a richer science of both human language and language models. The marriage of AI and linguistics has the potential to be a major shift, but only if we're willing to embrace it.

That's the week. See you Monday.