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There was a large literature on language acquisition prior to the invention of LLMs that showed that Chomsky's argument likely wasn't correct. This is in additi
by ants_everywhere 11mo ago
There was a large literature on language acquisition prior to the invention of LLMs that showed that Chomsky's argument likely wasn't correct. This is in addition to the fact that he significantly underestimated the amount of linguistic input children receive.
There's too much to hash it out here in HN. You can try to save the LAD argument by a strategic retreat, but it's been in retreat for decades now and keeps losing ground. It's clear that neural networks can learn the rules of grammar without specifically baking grammatical hierarchies into the network. You can retreat to saying it's about setting hyper parameters or priors but even the evidence for that is marginal.
There are certainly features of the brain that make language learning easier (such as size) but POS doesn't really provide anything to guide research and is mostly of historical interest now. It's a claim that something is impossible, which is a strong claim. And the evidence for it is poor. It's not clear it would have any adherents if it were proposed anew today. And this is all before LLMs enter the picture.
The research from neuroscience and learning theory and machine learning etc have all pointed toward a view of the brain as significantly different from the psychological nativism view. When many prominent results in the nativist camp failed to replicate during the replicability crisis, most big name researchers pivoted to other fields. Marcus is one of the remaining vocal holdouts for nativism. And his beliefs about AI align very closely with all the old debates about statistical learning models vs symbolic manipulation etc.
> Why are other intelligent animals not able to learn human languages?
Animals and plants do communicate with each other in structured ways. Animals can learn to communicate with humans. This is one of those areas where you can choose to try to see the continuities with communication or you can try to define a vision of language that isolates human language as completely set apart. I think human language is more like an outlier in complexity to the communication animals do rather than a fundamentally different thing. In that sense there's not much of a mystery given brain size, number of neurons, sociality etc.
> The argument is that there is not enough information available to a child to do this
Yes, but children are the humans who earn language in the typical case. So you can replace "child" with "human" especially with all the hedging I did in my first post (e.g. "essentially"). As I said above Chomsky is known to have underestimated the amount of input babies receive. Babies hear language from the moment they're born until they learn to speak. Also, as a parent, I often correct grammatical and other mistakes as toddlers learn to talk. Other parents do the same. Part of the POS is based on the premise that children don't get their grammar corrected often.
- foldr 11mo agoYes, lots of people have argued that Chomsky is wrong about various things for various reasons and at various times. The point of my post was not to get into all of those historical arguments, but to point out that recent developments in LLMs are largely irrelevant. But I'll briefly respond to some of your broader points. You mention 'neural networks' learning rules of grammar. Again, this is relevant to Chomsky's argument only to the extent that such devices do so on the basis of the kind of data available to a child. Here you implicitly reference a body of research that's largely non-existent. Where are the papers showing that neural networks can learn, say, ECP effects, ACD, restrictions on possible scope interpretations, etc. etc., on the basis of a realistic child linguistic corpus? Your 'continuities' argument cuts both ways. There are continuities between human perception and bat perception and between bat communication and human communication; but we still can't echolocate, and bats still can't hold conversations. The specifics matter here. Is bat echolocation just a more complex variant of my very slight ability to sense whether I'm in an enclosed location or an outdoor space when I have my eyes closed? And is the explanation for why bats but not humans have this ability that bat cognition is just more sophisticated than human cognition? I'm sure neural networks can be trained to do echolocation too. Humans can train an artificial network to do echolocation, therefore it can't be a species-specific capacity of bats. << This seems like a terrible argument, no? Poverty of the stimulus arguments don't really depend at all on the assumption that parents don't correct children, or that children ignore such corrections. If you look at specific examples of the kind of grammatical rules that tend to interest generative linguists (e.g. ACD, ECP effects, ...) then parents don't even know about any of these, and certainly aren't correcting their children on them. Chomsky has never made any specific estimate of the 'amount' of input that babies receive, so he certainly can't be known to have underestimated it. Poverty of the stimulus arguments are at heart not quantitative but rather are based on the assumption that certain specific kinds of data are not likely to be available in a child's input. This assumption has been validated by experimental and corpus studies (e.g. https://sites.socsci.uci.edu/~lpearl/courses/readings/LidzWaxmanFreedman2003_WhatChildrenKnow.pdf https://sites.socsci.uci.edu/~lpearl/courses/readings/LidzWa...) > Babies hear language from the moment they're born until they learn to speak I can assure you that this insight is not lost on anyone who works on child language acquisition :)
- 11mo ago