Edward Gibson
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Podcast Appearances
I do experiments with people and I gather corpus data, whatever, whatever corpus data is available. And we do quantitative methods to evaluate any kind of hypothesis we have. He just doesn't do that. So, you know, you, you know, he has never once been associated with any experiment or corpus work ever. And so it's all thought experiments. It's his own intuitions.
So I just don't think that's the way to do things. Yeah. That's an across-the-street-there-across-the-street-from-us kind of difference between Brain and CogSci and linguistics. I mean, some of the linguists, depending on what you do, more speech-oriented, they do more quantitative stuff.
So I just don't think that's the way to do things. Yeah. That's an across-the-street-there-across-the-street-from-us kind of difference between Brain and CogSci and linguistics. I mean, some of the linguists, depending on what you do, more speech-oriented, they do more quantitative stuff.
So I just don't think that's the way to do things. Yeah. That's an across-the-street-there-across-the-street-from-us kind of difference between Brain and CogSci and linguistics. I mean, some of the linguists, depending on what you do, more speech-oriented, they do more quantitative stuff.
But in the meaning, words and, well, it's combinations of words, syntax, semantics, they tend not to do experiments and... and corpus analyses.
But in the meaning, words and, well, it's combinations of words, syntax, semantics, they tend not to do experiments and... and corpus analyses.
But in the meaning, words and, well, it's combinations of words, syntax, semantics, they tend not to do experiments and... and corpus analyses.
Yeah, I mean, I'm a psychologist. So I would say we're in psychology. Brain and Cognitive Science is MIT's old psychology department. It was a psychology department up until 1985, and it became the Brain and Cognitive Science department. And so, I mean, my training is math and computer science, but I'm a psychologist. I mean, I don't know what I am.
Yeah, I mean, I'm a psychologist. So I would say we're in psychology. Brain and Cognitive Science is MIT's old psychology department. It was a psychology department up until 1985, and it became the Brain and Cognitive Science department. And so, I mean, my training is math and computer science, but I'm a psychologist. I mean, I don't know what I am.
Yeah, I mean, I'm a psychologist. So I would say we're in psychology. Brain and Cognitive Science is MIT's old psychology department. It was a psychology department up until 1985, and it became the Brain and Cognitive Science department. And so, I mean, my training is math and computer science, but I'm a psychologist. I mean, I don't know what I am.
I am what I am, but I'm happy to be called a linguist, I'm happy to be called a computer scientist, I'm happy to be called a psychologist, any of those things.
I am what I am, but I'm happy to be called a linguist, I'm happy to be called a computer scientist, I'm happy to be called a psychologist, any of those things.
I am what I am, but I'm happy to be called a linguist, I'm happy to be called a computer scientist, I'm happy to be called a psychologist, any of those things.
Those are theories. But I think the reason we differ in part is because of how we evaluate the theories. And so I evaluate theories quantitatively, and Noam doesn't. Got it.
Those are theories. But I think the reason we differ in part is because of how we evaluate the theories. And so I evaluate theories quantitatively, and Noam doesn't. Got it.
Those are theories. But I think the reason we differ in part is because of how we evaluate the theories. And so I evaluate theories quantitatively, and Noam doesn't. Got it.
So the reason I like dependency grammar, as I've said before, is that it's very transparent about its representation of distance between words. So it's like, all it is, is you've got a bunch of words, you're connecting together to make a sentence. And...
So the reason I like dependency grammar, as I've said before, is that it's very transparent about its representation of distance between words. So it's like, all it is, is you've got a bunch of words, you're connecting together to make a sentence. And...
So the reason I like dependency grammar, as I've said before, is that it's very transparent about its representation of distance between words. So it's like, all it is, is you've got a bunch of words, you're connecting together to make a sentence. And...
a really neat insight which turns out to be true is that the further apart the pair of words are that you're connecting the harder it is to do the production the harder it is to do the comprehension it's harder to produce hard to understand when the words are far apart when they're close together it's easy to produce and it's easy to comprehend let me give you an example okay so