Both readings this week focused on the differences in language processing in children and adults, specifically in deriving scalar implicature. They both define some scale or spectrum of descriptive words (e.g. "none", "some", "all") and show that children and adults process these words differently -- children using their logical meanings and adults using pragmatics. In other words, if we asked a child whether "some elephants have trunks", they would most likely respond true (because the logical definition of the word "some" encompasses the logical definition for the word "all"). However, if we asked an adult the same question, they would be more likely to respond false, because the weak statement "some" implies the negation of the stronger statement "all" -- thus, this statement means to adults that some elephants have trunks, but not all elephants have trunks.
The use of the example words "some", "all", and "none" brings me back to the first few weeks of CS103, in which we learned the basics of set theory and first-order logic. In set theory, the concept of a subset illustrates the distinction between the logical definitions of "some" versus "all": a set A is a subset of another set B if every element in A is also an element of B. We can say that there are some elements of B that are not in A, and the subset relation would still hold true between A and B (imagine a Venn Diagram in which circle A is completely contained within circle B, but A and B are not the same circle). However, we can also say that A is a subset of B if A and B are the same set (the same circle), that is, if all elements of B are also in A.
Much of our time in class was spent learning these definitions, but just as much was spent unlearning the pragmatic definition of "some" and relearning its logical definition (at least in the context of set theory). We ran into similar problems when negating statements in first-order logic. For example, consider the statement "all x's are y's." Pragmatically (colloquially/outside the context of a logic class), one would think that the negation of this statement is "no x's are y's." But logically, this is not a correct negation (the correct negation is that "there exists an x which is not y", or "some x is not y"). In fact, many statements in English (pragmatically) seemed inconsistent with their corresponding mathematical definitions, simply because we were creating and defining a system where the meaning of every word unit must be clearly defined and unambiguous. Because math allows for no ambiguities in language, we had to unlearn the pragmatic definitions of many terms, essentially revert to a more "childlike" way of thinking, taking into account only logical, not pragmatic, definitions.
This conversion between logical and pragmatic interpretations of language also calls into question the notion of the computational mind. Although young children process language mainly using the logical meanings of words, they are constantly taking in cues from their environment and learning the pragmatic meanings of the words in their vocabulary. How does one reconcile the lessening of specificity in language understanding with the precise, deterministic view of computation? Moreover, how do we ensure that the definition of any word that we first learn is the logical one and not a pragmatic one?
I love how you explained the varying negations - and how which is correct compared to what we initially jump to! I think this is often how miscommunications between people happen...where we interpret a statement or negation like this differently...you can always hear conversations to clarify a miscommunication start of by people revisiting what they said and then emphasizing a syllable or order or rhythm to clarify what was meant. I wonder if there are certain unwritten social understandings where the "childlike" way is the norm of confirming or negating something or the pragmatic/adult way is preferred. Do we go back and forth?
ReplyDeleteI too found a connection to computer science with these readings, especially in Barner's description of the steps to deriving scalar implicatures. It seemed like a computational program, where every time that you hear a scalar, you evaluate the set of all possible other scalars that could have been used and derive meaning from the fact that these other options were not used.
ReplyDeleteWoah, I also related this to 103!! I guess that's just a result of having the terms of existential and universal statements beat into our heads with the problem sets. Nevertheless, I brought up the topics of first-order logic into my blog post as well, as I observed a clear and distinct relationship between the two fields. You definitely went into more depth than I did about the nature of these terms (with the specific examples of the Venn Diagram), which I think definitely helps those who aren't in 103 to understand your main points. In response to your last question, I think that we learn about everything in their exact forms before learning about their usage in different contexts; only then do we resort to using the implied forms, which requires a pretty comprehensive understanding of the intricacies of that specific word.
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