Sunday, October 16, 2016

SymSys is indeed a major.

Carnie’s textbook focuses on Syntax—the study of the organization of words in sentences so that the sentences have meaning. Immediately, Carnie jumps into framing the study of syntax within cognitive science, and continues to write about syntax from a very scientific, analytical view. He notes that “the discipline of linguistics, along with psychology, philosophy, and computer science” form cognitive science, and I think this sentence provided me with so much clarity as to what I am studying—Symbolic Systems. He then goes on to discuss the words that make up sentences, focusing on the different types of building blocks we use to create strings of coherent sentences, and then moves onto sentence structure as a whole, and using the (ever familiar with CS students) tree diagram.
What I find particularly interesting about the study of syntactic linguistics, is that it was born out of a desire to study our subconscious organization of words and meaning. We aren’t taught syntax explicitly, but this field attempts to model the computer program-like procedures of Language in our brain that allow us to communicate strings of words. The rules that make up our generative grammar for English are like the command lines of a program—algorithmically ordering the steps or words.
A point that Carnie makes that I found particularly stimulating was the difference between semantic ill-formedness and syntactic ill-formedness. An example of the former is “My face is pregnant,” and an example of the latter is “The face mine is pregnant.” From a computational point-of-view, it seems like the syntactic issues would be much easier to create rules for, since the context surrounding semantics feels much more vague and broad. For instance, saying “My face is on fire” is well-formed for both accounts, but as a native English speaker, we know this to mean that the face is not actually on fire, but merely experiencing a burning sensation. As Carnie explains, creating a set of rules that govern our generative grammar is very, very difficult.
The basis for our generative grammar is acquired, rather than learned, as I noted before. Noam Chomsky posited that capacity for Language may be innate, but the specific languages we speak are acquired/learned. There is a proof that demonstrates that because syntax is countably infinite, it cannot be learned, and that parts of understanding syntax are innate. I am skeptical, especially because different languages can have such differing syntactic structure, such as verb + subject order, the placement of modifiers, etc. It seems that from a computational standpoint, creating a model of syntax would be impossible by mapping each word to a set of rules that govern its use, but that building some sort of “learnable” program would be the only way, much like the way we correct young children’s speech mishaps.

Carnie’s linguistic work seems to be so deeply intertwined with these many other fields that come together to form cognitive science, and I now understand where the basis for the Symbolic Systems major came from.

5 comments:

  1. Love that you were able to tie the reading to the definition of SymSys as a major. Although what Carnie outlines is the building block of cognitive science, SymSys is (strictly speaking) a little different from cognitive science- there's a page on the SymSys department site that explains some of the differences. I had a similar response to you to this article in that it made me think about the extent to which we can create rules to formalize complex processes, much like neuroscience attempts to do.

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  2. I was able to connect to a lot of the insights that you had and agree that this reading provided the foundation for linguistic understanding in the SymSys approach to understanding human intelligence and cognition through the lens of language. Moreover, I enjoyed your explanation of how syntax is innately learned in some aspects due to the infinite nature of syntax.

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  3. Interesting point, Darby, regarding the creation of a "learnable" program to give human-level syntactic understanding to AI. While this theory does seem to weave theories of Symbolic Systems and Linguistics together, I worry that the genetic disposition to communication, or human acquisition of language rather than learning of language, suggests the opposite. For example, on page 21, Carnie depicts the failed attempts of parents to "instruct" their children in language. If language cannot be taught to humans by parents, could we attempt to teach a learnable AI language? Or are we better off figuring out a way to "genetically" predispose the AI to linguistic ability (Language) through a fluid encoding of some sort from the very beginning, and simply allowing the rules of each specific language to be acquired through a learning process?

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  4. I think you did a great job of phrasing a paradox and justifying your skepticism of languages innateness. You opened by talking about exactly how the study of language is a study of cognitive science and you talk in the end about the claim made by Noam Chomsky that language is innate. Furthermore, if there are so many different structuring of sentences, then wouldn't this imply that entire populations of people were cognitively developing in very different, almost classifiable ways? And then wouldn't this lead to some weird hierarchical groupings of people based on their languages? Probably not what anyone is in the business of doing but I think you did a really good job (right before your discussion of creating a model of language rules) of framing this contradiction and drawing the conclusion that you instead have to learn this complex system of communication rather than just stumble upon it.

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  5. It's nice to know that other people have thought about combining these disciplines together, and that SymSys isn't something Stanford just haphazardly threw together. Linguistics pairs well with CS, but it wasn't until recently I realized how well it could pair with psychology with different marketing applications, and how well it pairs with philosophy after taking Phil 80. These disciplines seem to fit together more than originally thought, but still not well enough for me to easily explain to my parents!

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