Steven Pinker: Linguistics as a Window to Understanding the Brain
-
0:12 - 0:17My name is Steve Pinker, and I’m Professor
of Psychology at Harvard University. And -
0:17 - 0:23today I’m going to speak to you about language.
I’m actually not a linguist, but a -
0:23 - 0:28cognitive scientist. I’m not so much interested
as language as an object in its own right, -
0:28 - 0:32but as a window to the human mind.
Language is one of the fundamental topics -
0:32 - 0:38in the human sciences. It’s the trait
that most conspicuously distinguishes humans -
0:38 - 0:45from other species, it’s essential to human
cooperation; we accomplish amazing things -
0:45 - 0:52by sharing our knowledge or coordinating our
actions by means of words. It poses profound -
0:52 - 0:59scientific mysteries such as, how did language
evolve in this particular species? How does -
0:59 - 1:06the brain compute language? But also, language
has many practical applications not surprisingly -
1:06 - 1:11given how central it is to human life.
Language comes so naturally to us that we’re -
1:11 - 1:16apt to forget what a strange and miraculous
gift it is. But think about what you’re -
1:16 - 1:21doing for the next hour. You’re going
to be listening patiently as a guy makes noise -
1:21 - 1:26as he exhales. Now, why would you do something
like that? It’s not that I can claim that -
1:26 - 1:32the sounds I’m going to make are particularly
mellifluous, but rather I’ve coded information -
1:32 - 1:38into the exact sequences of hisses and hums
and squeaks and pops that I’ll be making. -
1:38 - 1:45You have the ability to recover the information
from that stream of noises allowing us to -
1:45 - 1:50share ideas.
Now, the ideas we are going to share are about -
1:50 - 1:55this talent, language, but with a slightly
different sequence of hisses and squeaks, -
1:55 - 2:01I could cause you to be thinking thoughts
about a vast array of topics, anything from -
2:01 - 2:07the latest developments in your favorite reality
show to theories of the origin of the universe. -
2:07 - 2:14This is what I think of as the miracle of
language, its vast expressive power, and it’s -
2:14 - 2:19a phenomenon that still fills me with wonder,
even after having studied language for 35 -
2:19 - 2:32years. And it is the prime phenomenon that
the science of language aims to explain. -
2:32 - 2:35Not surprisingly, language is central to human
life. The Biblical story of the Tower of -
2:35 - 2:40Babel reminds us that humans accomplish great
things because they can exchange information -
2:40 - 2:46about their knowledge and intentions via the
medium of language. Language, moreover, -
2:46 - 2:53is not a peculiarity of one culture, but it
has been found in every society ever studied -
2:53 - 2:59by anthropologists.
There’s some 6,000 languages spoken on Earth, -
2:59 - 3:05all of them complex, and no one has ever discovered
a human society that lacks complex language. -
3:05 - 3:11For this and other reasons, Charles Darwin
wrote, “Man has an instinctive tendency -
3:11 - 3:17to speak as we see in the babble of our young
children while no child has an instinctive -
3:17 - 3:21tendency to bake, brew or write.”
-
3:21 - 3:25Language is an intricate talent and it’s
not surprising that the science of language -
3:25 - 3:30should be a complex discipline.
It includes the study of how language itself -
3:30 - 3:38works including: grammar, the assembly of
words, phrases and sentences; phonology, the -
3:38 - 3:45study of sound; semantics, the study of meaning;
and pragmatics, the study of the use of language -
3:45 - 3:49in conversation.
Scientists interested in language also -
3:49 - 3:55study how it is processed in real time, a
field called psycholinguistics; how is it -
3:55 - 4:00acquired by children, the study of language
acquisition. And how it is computed in the -
4:00 - 4:02brain, the discipline called neurolinguistics.
-
4:02 - 4:12Now, before we begin, it’s important to
not to confuse language with three other things -
4:12 - 4:18that are closely related to language. One
of them is written language. Unlike spoken -
4:18 - 4:24language, which is found in all human cultures
throughout history, writing was invented a -
4:24 - 4:30very small number of times in human history,
about 5,000 years ago. -
4:30 - 4:35And alphabetic writing where each mark on
the page stands for a vowel or a consonant, -
4:35 - 4:40appears to have been invented only once in
all of human history by the Canaanites about -
4:40 - 4:483,700 years ago. And as Darwin pointed out,
children have no instinctive tendency to write, -
4:48 - 4:52but have to learn it through construction
and schooling. -
4:52 - 4:58A second thing not to confuse language with
is proper grammar. Linguists distinguish -
4:58 - 5:05between descriptive grammar - the rules, that
characterize how people to speak - and prescriptive -
5:05 - 5:11grammar - rules that characterize how people
ought to speak if they are writing careful -
5:11 - 5:16written prose.
A dirty secret from linguistics is that not -
5:16 - 5:22only are these not the same kinds of rules,
but many of the prescriptive rules of language -
5:22 - 5:28make no sense whatsoever. Take one of the
most famous of these rules, the rule not to -
5:28 - 5:32split infinitives.
According to this rule, Captain Kirk made -
5:32 - 5:37a grievous grammatical error when he said
that the mission of the Enterprise was “to -
5:37 - 5:42boldly go where no man has gone before.”
He should have said, according to these -
5:42 - 5:49editors, “to go boldly where no man has
gone before,” which immediately clashes -
5:49 - 5:55with the rhythm and structure of ordinary
English. In fact, this prescriptive rule -
5:55 - 6:01was based on a clumsy analogy with Latin where
you can’t splint an infinitive because it’s -
6:01 - 6:06a single word, as in facary[ph] to do. Julius
Caesar couldn’t have split an infinitive -
6:06 - 6:13if he wanted to. That rule was translated
literally over into English where it really -
6:13 - 6:17should not apply.
Another famous prescriptive rule is that, -
6:17 - 6:23one should never use a so-called double negative.
Mick Jagger should not have sung, “I can’t -
6:23 - 6:28get no satisfaction,” he really should have
sung, “I can’t get any satisfaction.” -
6:28 - 6:35Now, this is often promoted as a rule of
logical speaking, but “can’t” and “any” -
6:35 - 6:40is just as much of a double negative as “can’t”
and “no.” The only reason that “can’t -
6:40 - 6:45get any satisfaction” is deemed correct
and “can’t get no satisfaction” is deemed -
6:45 - 6:50ungrammatical is that the dialect of English
spoken in the south of England in the 17th -
6:50 - 6:54century used “can’t” “any” rather
than “can’t” “no.” -
6:54 - 6:57If the capital of England had been in the
north of the country instead of the south -
6:57 - 7:01of the country, then “can’t get no,”
would have been correct and “can’t get -
7:01 - 7:03any,” would have been deemed incorrect.
-
7:03 - 7:08There’s nothing special about a language
that happens to be chosen as the standard -
7:08 - 7:15for a given country. In fact, if you compare
the rules of languages and so-called dialects, -
7:15 - 7:21each one is complex in different ways. Take
for example, African-American vernacular English, -
7:21 - 7:28also called Black English or Ebonics. There
is a construction in African-American where -
7:28 - 7:33you can say, “He be workin,” which is
not an error or bastardization or a corruption -
7:33 - 7:39of Standard English, but in fact conveys a
subtle distinction, one that’s different -
7:39 - 7:46than simply, “He workin.” “He be workin,”
means that he is employed; he has a job, “He -
7:46 - 7:51workin,” means that he happens to be working
at the moment that you and I are speaking. -
7:51 - 7:53
Now, this is a tense difference that can be -
7:53 - 7:59made in African-American English that is not
made in Standard English, one of many examples -
7:59 - 8:06in which the dialects have their own set of
rules that is just as sophisticated and complex -
8:06 - 8:11as the one in the standard language.
Now, a third thing, not to confuse language -
8:11 - 8:17with is thought. Many people report that
they think in language, but commune of psychologists -
8:17 - 8:23have shown that there are many kinds of thought
that don’t actually take place in the form -
8:23 - 8:24of sentences.
-
8:24 - 8:26(1.) Babies (and other mammals) communicate
without speech -
8:26 - 8:32For example, we know from ingenious experiments
that non-linguistic creatures, such as babies -
8:32 - 8:39before they’ve learned to speak, or other
kinds of animals, have sophisticated kinds -
8:39 - 8:45of cognition, they register cause and effect
and objects and the intentions of other people, -
8:45 - 8:48all without the benefit of speech.
(2.) Types of thinking go on without language--visual -
8:48 - 8:50thinking
We also know that even in creatures that do -
8:50 - 8:57have language, namely adults, a lot of thinking
goes on in forms other than language, for -
8:57 - 9:03example, visual imagery. If you look at
the top two three-dimensional figures in this -
9:03 - 9:09display, and I would ask you, do they have
the same shape or a different shape? People -
9:09 - 9:15don’t solve that problem by describing those
strings of cubes in words, but rather by taking -
9:15 - 9:22an image of one and mentally rotating it into
the orientation of the other, a form of non-linguistic -
9:22 - 9:22thinking.
(3.) We use tacit knowledge to understand -
9:22 - 9:25language and remember the gist
For that matter, even when you understand -
9:25 - 9:31language, what you come away with is not in
itself the actual language that you hear. -
9:31 - 9:38Another important finding in cognitive psychology
is that long-term memory for verbal material -
9:38 - 9:45records the gist or the meaning or the content
of the words rather than the exact form of -
9:45 - 9:48the words.
For example, I like to think that you retain -
9:48 - 9:54some memory of what I have been saying for
the last 10 minutes. But I suspect that -
9:54 - 10:00if I were to ask you to reproduce any sentence
that I have uttered, you would be incapable -
10:00 - 10:07of doing so. What sticks in memory is far
more abstract than the actual sentences, something -
10:07 - 10:12that we can call meaning or content or semantics.
-
10:12 - 10:18In fact, when it even comes to understanding
a sentence, the actual words are the tip of -
10:18 - 10:25a vast iceberg of a very rapid, unconscious,
non-linguistic processing that’s necessary -
10:25 - 10:30even to make sense of the language itself.
And I’ll illustrate this with a classic -
10:30 - 10:37bit of poetry, the lines from the shampoo
bottle. “Wet hair, lather, rinse, repeat.” -
10:37 - 10:40
Now, in understanding that very simple snatch -
10:40 - 10:45of language, you have to know, for example,
that when you repeat, you don’t wet your -
10:45 - 10:49hair a second time because its already wet,
and when you get to the end of it and you -
10:49 - 10:54see “repeat,” you don’t keep repeating
over and over in infinite loop, repeat here -
10:54 - 11:00means, “repeat just once.” Now this
tacit knowledge of what the writers ** of -
11:00 - 11:06language had in mind is necessary to understand
language, but it, itself, is not language. -
11:06 - 11:08
(4.) If language is thinking, then where did -
11:08 - 11:11it come from?
Finally, if language were really thought, -
11:11 - 11:15it would raise the question of where language
would come from if it were incapable of thinking -
11:15 - 11:21without language. After all, the English
language was not designed by some committee -
11:21 - 11:27of Martians who came down to Earth and gave
it to us. Rather, language is a grassroots -
11:27 - 11:33phenomenon. It’s the original wiki, which
aggregates the contributions of hundreds of -
11:33 - 11:40thousands of people who invent jargon and
slang and new constructions, some of them -
11:40 - 11:46get accumulated into the language as people
seek out new ways of expressing their thoughts, -
11:46 - 11:51and that’s how we get a language in the
first place. -
11:51 - 11:59Now, this not to deny that language can affect
thought and linguistics has long been interested -
11:59 - 12:06in what has sometimes been called, the linguistic
relativity hypothesis or the Sapir-Whorf Hypothesis -
12:06 - 12:10(note correct spelling, named after the two
linguists who first formulated it, namely -
12:10 - 12:15that language can affect thought. There’s
a lot of controversy over the status of the -
12:15 - 12:21linguistic relativity hypothesis, but no one
believes that language is the same thing as -
12:21 - 12:27thought and that all of our mental life consists
of reciting sentences. -
12:27 - 12:33Now that we have set aside what language is
not, let’s turn to what language is beginning -
12:33 - 12:39with the question of how language works.
In a nutshell, you can divide language into -
12:39 - 12:46three topics.
There are the words that are the basic components -
12:46 - 12:50of sentences that are stored in a part of
long-term memory that we can call the mental -
12:50 - 12:57lexicon or the mental dictionary. There
are rules, the recipes or algorithms that -
12:57 - 13:05we use to assemble bits of language into more
complex stretches of language including syntax, -
13:05 - 13:11the rules that allow us to assemble words
into phrases and sentences; Morphology, the -
13:11 - 13:17rules that allow us to assemble bits of words,
like prefixes and suffixes into complex words; -
13:17 - 13:24Phonology, the rules that allow us to combine
vowels and consonants into the smallest words. -
13:24 - 13:31And then all of this knowledge of language
has to connect to the world through interfaces -
13:31 - 13:36that allow us to understand language coming
from others to produce language that others -
13:36 - 13:39can understand us, the language interfaces.
-
13:39 - 13:45Let’s start with words.
The basic principle of a word was identified -
13:45 - 13:52by the Swiss linguist, Ferdinand de Saussure,
more than 100 years ago when he called attention -
13:52 - 13:58to the arbitrariness of the sign. Take for
example the word, “duck.” The word, -
13:58 - 14:03“duck” doesn’t look like a duck or walk
like a duck or quack like a duck, but I can -
14:03 - 14:07use it to get you to think the thought of
a duck because all of us at some point in -
14:07 - 14:15our lives have memorized that brute force
association between that sound and that meaning, -
14:15 - 14:20which means that it has to be stored in memory
in some format, in a very simplified form -
14:20 - 14:24and an entry in the mental lexicon might look
something like this. There is a symbol for -
14:24 - 14:32the word itself, there is some kind of specification
of its sound and there’s some kind of specification -
14:32 - 14:37of its meaning.
Now, one of the remarkable facts about the -
14:37 - 14:44mental lexicon is how capacious it is. Using
dictionary sampling techniques where you say, -
14:44 - 14:49take the top left-hand word on every 20th
page of the dictionary, give it to people -
14:49 - 14:55in a multiple choice test, correct for guessing,
and multiply by the size of the dictionary, -
14:55 - 15:00you can estimate that a typical high school
graduate has a vocabulary of around 60,000 -
15:00 - 15:07words, which works out to a rate of learning
of about one new word every two hours starting -
15:07 - 15:13from the age of one. When you think that
every one of these words is arbitrary as a -
15:13 - 15:19telephone number of a date in history, you’re
reminded about the remarkable capacity of -
15:19 - 15:24human long-term memory to store the meanings
and sounds of words. -
15:24 - 15:32But of course, we don’t just blurt out individual
words, we combine them into phrases and sentences. -
15:32 - 15:39And that brings up the second major component
of language; namely, grammar. -
15:39 - 15:46Now the modern study of grammar is inseparable
to the contributions of one linguist, the -
15:46 - 15:52famous scholar, Noam Chomsky, who set the
agenda for the field of linguistics for the -
15:52 - 15:57last 60 years.
To begin with, Chomsky noted that the main -
15:57 - 16:03puzzle that we have to explain in understanding
language is creativity or as linguists often -
16:03 - 16:09call it productivity, the ability to produce
and understand new sentences. -
16:09 - 16:16Except for a small number of clichéd formulas,
just about any sentence that you produce or -
16:16 - 16:23understand is a brand new combination produced
for the first time perhaps in your life, perhaps -
16:23 - 16:29even in the history of the species. We have
to explain how people are capable of doing -
16:29 - 16:35it. It shows that when we know a language,
we haven’t just memorized a very long list -
16:35 - 16:43of sentences, but rather have internalized
a grammar or algorithm or recipe for combining -
16:43 - 16:49elements into brand new assemblies. For
that reason, Chomsky has insisted that linguistics -
16:49 - 16:56is really properly a branch of psychology
and is a window into the human mind. -
16:56 - 17:02A second insight is that languages have a
syntax which can’t be identified with their -
17:02 - 17:07meaning. Now, the only quotation that I
know of, of a linguist that has actually made -
17:07 - 17:13it into Bartlett’s Familiar Quotations,
is the following sentence from Chomsky, from -
17:13 - 17:201956, “Colorless, green ideas sleep furiously.”
Well, what’s the point of that sentence? -
17:20 - 17:25The point is that it is very close to meaningless.
On the other hand, any English speaker can -
17:25 - 17:31instantly recognize that it conforms to the
patterns of English syntax. Compare, for -
17:31 - 17:38example, “furiously sleep ideas dream colorless,”
which is also meaningless, but we perceive -
17:38 - 17:44as a word salad.
A third insight is that syntax doesn’t consist -
17:44 - 17:51of a string of word by word associations as
in stimulus response theories in psychology -
17:51 - 17:56where producing a word is a response which
you then hear and it becomes a stimulus to -
17:56 - 18:02producing the next word, and so on. Again,
the sentence, “colorless green ideas sleep -
18:02 - 18:08furiously,” can help make this point. Because
if you look at the word by word transition -
18:08 - 18:14probabilities in that sentence, for example,
colorless and then green; how often have you -
18:14 - 18:21heard colorless and green in succession. Probably
zero times. Green and ideas, those two words -
18:21 - 18:28never occur together, ideas and sleep, sleep
and furiously. Every one of the transition -
18:28 - 18:34probabilities is very close to zero, nonetheless,
the sentence as a whole can be perceived as -
18:34 - 18:39a well-formed English sentence.
Language in general has long distance dependencies. -
18:39 - 18:45The word in one position in a sentence can
dictate the choice of the word several positions -
18:45 - 18:51downstream. For example, if you begin a
sentence with “either,” somewhere down -
18:51 - 18:56the line, there has to be an “or.” If
you have an “if,” generally, you expect -
18:56 - 19:00somewhere down the line there to be a “then.”
There’s a story about a child who says -
19:00 - 19:05to his father, “Daddy, why did you bring
that book that I don’t want to be read to -
19:05 - 19:12out of, up for?” Where you have a set
of nested or embedded long distance dependencies. -
19:12 - 19:16
Indeed, one of the applications of linguistics -
19:16 - 19:25to the study of good prose style is that sentences
can be rendered difficult to understand if -
19:25 - 19:30they have too many long distance dependencies
because that could put a strain on the short-term -
19:30 - 19:36memory of the reader or listener while trying
to understand them. -
19:36 - 19:41Rather than a set of word by word associations,
sentences are assembled in a hierarchical -
19:41 - 19:46structure that looks like an upside down tree.
Let me give you an example of how that works -
19:46 - 19:51in the case of English. One of the basic
rules of English is that a sentence consists -
19:51 - 19:57of a noun phrase, the subject, followed by
a verb phrase, the predicate. -
19:57 - 20:04A second rule in turn expands the verb phrase.
A very phrase consists of a verb followed -
20:04 - 20:10by a noun phrase, the object, followed by
a sentence, the complement as, “I told him -
20:10 - 20:12that it was sunny outside.”
-
20:12 - 20:26Now, why do linguists insist that language
must be composed out of phrase structural -
20:26 - 20:27rules?
(1.) Rules allow for open-ended creativity -
20:27 - 20:32Well for one thing, that helps explain
the main phenomenon that we want to explain, -
20:32 - 20:35mainly the open-ended creativity of language.
-
20:35 - 20:36(2.) Rules allow for expression of unfamiliar
meaning -
20:36 - 20:42It allows us to express unfamiliar meanings.
There’s a cliché in journalism for example, -
20:42 - 20:47that when a dog bites a man, that isn’t
news, but when a man bites a dog, that is -
20:47 - 20:55news. The beauty of grammar is that it allows
us to convey news by assembling into familiar -
20:55 - 21:02word in brand new combinations. Also, because
of the way phrase structure rules work, they -
21:02 - 21:05produce a vast number of possible combinations.
-
21:05 - 21:06(3.) Rules allow for production of vast numbers
of combinations -
21:06 - 21:10Moreover, the number of different thoughts
that we can express through the combinatorial -
21:10 - 21:15power of grammar is not just humongous, but
in a technical sense, it’s infinite. Now -
21:15 - 21:20of course, no one lives an infinite number
of years, and therefore can shell off their -
21:20 - 21:25ability to understand an infinite number of
sentences, but you can make the point in the -
21:25 - 21:31same way that a mathematician can say that
someone who understands the rules of arithmetic -
21:31 - 21:35knows that there are an infinite number of
numbers, namely if anyone ever claimed to -
21:35 - 21:40have found the longest one, you can always
come up with one that’s even bigger by adding -
21:40 - 21:45a one to it. And you can do the same thing
with language. -
21:45 - 21:50Let me illustrate it in the following way.
As a matter of fact, there has been a claim -
21:50 - 21:53that there is a world’s longest sentence.
-
21:53 - 21:57Who would make such a claim? Well, who else?
The Guinness Book of World Records. You -
21:57 - 22:03can look it up. There is an entry for the
World’s Longest Sentence. It is 1,300 -
22:03 - 22:08words long. And it comes from a novel by
William Faulkner. Now I won’t read all -
22:08 - 22:121,300 words, but I’ll just tell you how
it begins. -
22:12 - 22:17“They both bore it as though in deliberate
flatulent exaltation…” and it runs on -
22:17 - 22:20from there.
But I’m here to tell you that in fact, this -
22:20 - 22:25is not the world’s longest sentence. And
I’ve been tempted to obtain immortality -
22:25 - 22:30in Guinness by submitting the following record
breaker. "Faulkner wrote, they both bore -
22:30 - 22:36it as though in deliberate flatulent exaltation.”
But sadly, this would not be immortality -
22:36 - 22:43after all but only the proverbial 15 minutes
of fame because based on what you now know, -
22:43 - 22:48you could submit a record breaker for the
record breaker namely, "Guinness noted that -
22:48 - 22:54Faulkner wrote" or "Pinker mentioned that
Guinness noted that Faulkner wrote", or "who -
22:54 - 23:09cares that Pinker mentioned that Guinness
noted that Faulkner wrote…" -
23:09 - 23:14Take for example, the following wonderfully
ambiguous sentence that appeared in TV Guide. -
23:14 - 23:19“On tonight’s program, Conan will discuss
sex with Dr. Ruth.” -
23:19 - 23:24Now this has a perfectly innocent meaning
in which the verb, “discuss” involves -
23:24 - 23:30two things, namely the topic of discussion,
“sex” and the person with who it’s being -
23:30 - 23:36discussed, in this case, with Dr. Ruth. But
is has a somewhat naughtier meaning if you -
23:36 - 23:40rearrange the words into phrases according
to a different structure in which case “sex -
23:40 - 23:47with Dr. Ruth” is the topic of conversation,
and that’s what’s being discussed. -
23:47 - 23:51Now, phrase structure not only can account
for our ability to produce so many sentences, -
23:51 - 23:57but it’s also necessary for us to understand
what they mean. The geometry of branches -
23:57 - 24:03in a phrase structure is essential to figuring
out who did what to whom. -
24:03 - 24:08Another important contribution of Chomsky
to the science of language is the focus on -
24:08 - 24:18language acquisition by children. Now, children
can’t memorize sentences because knowledge -
24:18 - 24:23of language isn’t just one long list of
memorized sentences, but somehow they must -
24:23 - 24:31distill out or abstract out the rules that
goes into assembling sentences based on what -
24:31 - 24:36they hear coming out of their parent’s mouths
when they were little. And the talent of -
24:36 - 24:43using rules to produce combinations is in
evidence from the moment that kids begin to -
24:43 - 24:48speak.
Children create sentences unheard from adults -
24:48 - 24:53At the two-word stage, which you typically
see in children who are 18 months or a bit -
24:53 - 24:59older, kids are producing the smallest sentences
that deserve to be counted as sentences, namely -
24:59 - 25:03two words long. But already it’s clear
that they are putting them together using -
25:03 - 25:10rules in their own mind. To take an example,
a child might say, “more outside,” meaning, -
25:10 - 25:15take them outside or let them stay outside.
Now, adults don’t say, “more outside.” -
25:15 - 25:21So it’s not a phrase that the child simply
memorized by rote, but it shows that already -
25:21 - 25:26children are using these rules to put together
new combinations. -
25:26 - 25:33Another example, a child having jam washed
from his fingers said to his mother 'all gone -
25:33 - 25:40sticky'. Again, not a phrase that you
could ever have copied from a parent, but -
25:40 - 25:43one that shows the child producing new combinations.
-
25:43 - 25:51Past tense rule
An easy way of showing that children assimilate -
25:51 - 25:57rules of grammar unconsciously from the moment
they begin to speak, is the use of the past -
25:57 - 26:01tense rule.
For example, children go through a long stage -
26:01 - 26:06in which they make errors like, “We holded
the baby rabbits” or “He teared the paper -
26:06 - 26:12and then he sticked it.” Cases in which
they over generalize the regular rule of forming -
26:12 - 26:17the past tense, add ‘ed’ to irregular
verbs like “hold,” “stick” or “tear.” -
26:17 - 26:21And it’s easy to show… it’s easy to
get children to flaunt this ability to apply -
26:21 - 26:28rules productively in a laboratory demonstration
called the Wug Test. You bring a kid into -
26:28 - 26:34a lab. You show them a picture of a little
bird and you say, “This is a wug.” And -
26:34 - 26:37you show them another picture and you say,
“Well, now there are two of them.” There -
26:37 - 26:42are two and children will fill in the gap
by saying “wugs.” Again, a form they -
26:42 - 26:48could not have memorize because it’s invented
for the experiment, but it shows that they -
26:48 - 26:53have productive mastery of the regular plural
rule in English. -
26:53 - 26:58And famously, Chomsky claimed that children
solved the problem of language acquisition -
26:58 - 27:05by having the general design of language already
wired into them in the form of a universal -
27:05 - 27:10grammar.
A spec sheet for what the rules of any language -
27:10 - 27:15have to look like.
-
27:15 - 27:19What is the evidence that children are born
with a universal grammar? Well, surprisingly, -
27:19 - 27:25Chomsky didn’t propose this by actually
studying kids in the lab or kids in the home, -
27:25 - 27:30but through a more abstract argument called,
“The poverty of the input.” Namely, -
27:30 - 27:37if you look at what goes into the ears of
a child and look at the talent they end up -
27:37 - 27:44with as adults, there is a big chasm between
them that can only be filled in by assuming -
27:44 - 27:48that the child has a lot of knowledge of the
way that language works already built in. -
27:48 - 27:52
Here’s how the argument works. One of -
27:52 - 27:56the things that children have to learn when
they learn English is how to form a question. -
27:56 - 28:03Now, children will get evidence from parent’s
speech to how the question rule works, such -
28:03 - 28:09as sentences like, “The man is here,”
and the corresponding question, “Is the -
28:09 - 28:14man here?”
Now, logically speaking, a child getting -
28:14 - 28:19that kind of input could posit two different
kinds of rules. There’s a simple word -
28:19 - 28:25by word linear rule. In this case, find
the first “is” in the sentence and move -
28:25 - 28:30it to the front. “The man is here,”
“Is the man here?” Now there’s a more -
28:30 - 28:36complex rule that the child could posit called
a structure dependent rule, one that looks -
28:36 - 28:41at the geometry of the phrase structure tree.
In this case, the rule would be: find -
28:41 - 28:47the first “is” after the subject noun
phrase and move that to the front of the sentence. -
28:47 - 28:48A diagram of what that rule would look like
is as follows: you look for the “is” -
28:48 - 28:49that occurs after the subject noun phrase
and that’s what gets moved to the front -
28:49 - 28:51of the sentence.
Now, what’s the difference between the simple -
28:51 - 28:56word-by-word rule and the more complex structured
dependent rule? Well, you can see the difference -
28:56 - 29:02when it comes to performing the question from
a slightly more complex sentence like, “The -
29:02 - 29:27man who is tall is
in the room.”
But how is the child supposed to learn that? -
29:27 - 29:33How did all of us end up with the correct
structured dependent of the rule rather than -
29:33 - 29:37the far simpler word-by-word version of the
rule? -
29:37 - 29:42“Well,” Chomsky argues, “if you were
actually to look at the kind of language that -
29:42 - 29:47all of us hear, it’s actually quite rare
to hear a sentence like, “Is the man who -
29:47 - 29:54is tall in the room? The kind of input that
would logically inform you that the word-by-word -
29:54 - 30:00rule is wrong and the structure dependent
rule is right. Nonetheless, we all grow -
30:00 - 30:06up into adults who unconsciously use the structure
dependent rule rather than the word-by-word -
30:06 - 30:13rule. Moreover, children don’t make errors
like, “is the man who tall is in the room,” -
30:13 - 30:19as soon as they begin to form complex questions,
they use the structure dependent rule. And -
30:19 - 30:26that,” Chomsky argues, “is evidence that
structure dependent rules are part of the -
30:26 - 30:32definition of universal grammar that children
are born with.” -
30:32 - 30:41Now, though Chomsky has been fantastically
influential in the science of language that -
30:41 - 30:45does not mean that all language scientists
agree with him. And there have been a number -
30:45 - 30:51of critiques of Chomsky over the years. For
one thing, the critics point out, Chomsky -
30:51 - 30:58hasn’t really shown principles of universal
grammar that are specific to language itself -
30:58 - 31:06as opposed to general ways in which the human
mind works across multiple domains, language -
31:06 - 31:12and vision and control of motion and memory
and so on. We don’t really know that universal -
31:12 - 31:15grammar is specific to language, according
to this critique. -
31:15 - 31:20Secondly, Chomsky and the linguists working
with him have not examined all 6,000 of the -
31:20 - 31:28world’s languages and shown that the principles
of universal grammar apply to all 6,000. They’ve -
31:28 - 31:34posited it based on a small number of languages
and the logic of the poverty of the input, -
31:34 - 31:39but haven’t actually come through with the
data that would be necessary to prove that -
31:39 - 31:44universal grammar is really universal.
Finally, the critics argue, Chomsky has not -
31:44 - 31:53shown that more general purpose learning models,
such as neuro network models, are incapable -
31:53 - 31:57of learning language together with all the
other things that children learn, and therefore -
31:57 - 32:03has not proven that there has to be specific
knowledge how grammar works in order for the -
32:03 - 32:05child to learn grammar.
-
32:05 - 32:14Another component of language governs the
sound pattern of language, the ways that the -
32:14 - 32:21vowels and consonants can be assembled into
the minimal units that go into words. Phonology, -
32:21 - 32:28as this branch of linguistics is called, consists
of formation rules that capture what is a -
32:28 - 32:34possible word in a language according to the
way that it sounds. To give you an example, -
32:34 - 32:40the sequence, bluk, is not an English word,
but you get a sense that it could be an English -
32:40 - 32:43word that someone could coin a new form…
that someone could coin a new term of English -
32:43 - 32:50that we pronounce “bluk.” But when you
hear the sound **, you instantly know thatthat -
32:50 - 32:55not only isn’t it an English word, but it
really couldn’t be an English word. **, by -
32:55 - 33:02the way, comes from Yiddish and it means kind
of to sigh or to moan. Oi. That’s to -
33:02 - 33:06**.
The reason that we recognize that it’s not -
33:06 - 33:12English is because it has sounds like ** and
sequences like **, which aren’t part of -
33:12 - 33:18the formation rules of English phonology.
But together with the rules that define -
33:18 - 33:23the basic words of a language, there are also
phonological rules that make adjustments to -
33:23 - 33:30the sounds, depending on what the other words
the word appears with. Very few of us realize, -
33:30 - 33:35for example, in English, that the past tense
suffix “ed” is actually pronounced -
33:35 - 33:42in three different ways. When we say, “He
walked,” we pronounce the “ed” like -
33:42 - 33:48a “ta,” walked. When we say “jogged,”
we pronounce it as a “d,” jogged. And -
33:48 - 33:55when we say “patted,” we stick in
a vowel, pat-ted, showing that the same suffix, -
33:55 - 34:01“ed” can be readjusted in its pronunciation
according to the rules of English phonology. -
34:01 - 34:05
Now, when someone acquires English as a foreign -
34:05 - 34:11language or acquires a foreign language in
general, they carry over the rules of phonology -
34:11 - 34:15of their first language and apply it to their
second language. We have a word for it; -
34:15 - 34:21we call it an “accent.” When a language
user deliberately manipulates the rules of -
34:21 - 34:26phonology, that is, when they don’t just
speak in order to convey content, they pay -
34:26 - 34:38attention as to what phonological structures
are being used; we call it poetry and rhetoric. -
34:38 - 34:38
-
34:38 - 34:43So far, I’ve been talking about knowledge
of language, the rules that go into defining -
34:43 - 34:49what are possible sequences of language. But
those sequences have to get into the brain -
34:49 - 34:53during speech comprehension and they have
to get out during speech production. And -
34:53 - 34:56that takes us to the topic of language interfaces.
-
34:56 - 35:02And let’s start with production.
-
35:02 - 35:10This diagram here is literally a human cadaver
that has been sawn in half. An anatomist -
35:10 - 35:17took a saw and [sound] allowing it to see
in cross section the human vocal tract. And -
35:17 - 35:23that can illustrate how we get out knowledge
of language out into the world as a sequence -
35:23 - 35:27of sounds.
Now, each of us has at the top of our windpipe -
35:27 - 35:34or trachea, a complex structure called the
larynx or voice box; it’s behind your Adam’s -
35:34 - 35:42Apple. And the air coming out of your lungs
have to go passed two cartilaginous flaps -
35:42 - 35:50that vibrate and produce a rich, buzzy sound
source, full of harmonics. Before that vibrating -
35:50 - 35:56sound gets out to the world, it has to pass
through a gauntlet or chambers of the vocal -
35:56 - 36:04tract. The throat behind the tongue, the
cavity above the tongue, the cavity formed -
36:04 - 36:10by the lips, and when you block off airflow
through the mouth, it can come out through -
36:10 - 36:14the nose.
Now, each one of those cavities has a shape -
36:14 - 36:19that, thanks to the laws of physics, will
amplify some of the harmonics in that buzzy -
36:19 - 36:26sound source and suppress others. We can
change the shape of those cavities when we -
36:26 - 36:31move our tongue around. When we move our
tongue forward and backward, for example, -
36:31 - 36:38as in “eh,” “aa,” “eh,” “aa,”
we change the shape of the cavity behind the -
36:38 - 36:44tongue, change the frequencies that are amplified
or suppressed and the listener hears them -
36:44 - 36:49as two different vowels.
Likewise, when we raise or lower the tongue, -
36:49 - 36:55we change the shape of the resonant cavity
above the tongue as in say, “eh,” “ah,” -
36:55 - 37:02“eh,” “ah.” Once again, the change
in the mixture of harmonics is perceived as -
37:02 - 37:09a change in the nature of the vowel.
When we stop the flow of air and then release -
37:09 - 37:16it as in, “t,” “ca,” “ba.” Then
we hear a consonant rather than a vowel or -
37:16 - 37:23even when we restrict the flow of air as in
“f,” “ss” producing a chaotic noisy -
37:23 - 37:31sound. Each one of those sounds that gets
sculpted by different articulators is perceived -
37:31 - 37:35by the brain as a qualitatively different
vowel or consonant. -
37:35 - 37:42Now, an interesting peculiarity of the human
vocal track is that it obviously co-ops structures -
37:42 - 37:48that evolved for different purposes for breathing
and for swallowing and so on. And it’s -
37:48 - 37:53an… And it’s an interesting fact first
noted by Darwin that the larynx over the course -
37:53 - 37:59of evolution has descended in the throat so
that every particle of food going from the -
37:59 - 38:05mouth through the esophagus to the stomach
has to pass over the opening into the larynx -
38:05 - 38:11with some probability of being inhaled leading
to the danger of death by choking. And in -
38:11 - 38:17fact, until the invention of the Heimlich
Maneuver, several thousand people every year -
38:17 - 38:24died of choking because of this maladaptive
of the human vocal tract. -
38:24 - 38:29Why did we evolve a mouth and throat that
leaves us vulnerable to choking? Well, a -
38:29 - 38:34plausible hypothesis is that it’s a compromise
that was made in the course of evolution to -
38:34 - 38:41allow us to speak. By giving range to a
variety of possibilities for alternating the -
38:41 - 38:48resonant cavities, for moving the tongue back
and forth and up and down, we expanded the -
38:48 - 38:54range of speech sounds we could make, improve
the efficiency of language, but suffered the -
38:54 - 39:00compromise of an increased risk of choking
showing that language presumably had some -
39:00 - 39:06survival advantage that compensated for the
disadvantage in choking. -
39:06 - 39:11What about the flow of information in the
other direction, that is from the world into -
39:11 - 39:17the brain, the process of speech comprehension?
-
39:17 - 39:24Speech comprehension turns out to be an extraordinarily
complex computational process, which we're -
39:24 - 39:32reminded of every time we interact with a
voicemail menu on a telephone or you use a -
39:32 - 39:39dictation on our computers. For example,
One writer, using the state-of-the-art speech-to-text -
39:39 - 39:47systems dictated the following words into
his computer. He dictated “book tour,” -
39:47 - 39:52and it came out on the screen as “back to
work.” Another example, he said, “I -
39:52 - 39:58truly couldn’t see,” and it came out on
the screen as, “a cruelly good MC.” Even -
39:58 - 40:04more disconcertingly, he started a letter
to his parents by saying, “Dear mom and -
40:04 - 40:08dad,” and what came out on the screen, “The
man is dead.” -
40:08 - 40:13Now, dictation systems have gotten better
and better, but they still have a way to go -
40:13 - 40:17before they can duplicate a human stenographer.
-
40:17 - 40:22What is it about the problem of speech understanding
that makes it so easy for a human, but -
40:22 - 40:28so hard for a computer? Well, there are two
main contributors. One of them is the fact -
40:28 - 40:35that each phony, each vowel or consonant actually
comes out very differently, depending on what -
40:35 - 40:39comes before and what comes after. A phenomenon
sometimes called co-articulation. -
40:39 - 40:46Let me give you an example. The place called
Cape Cod has two “c” sounds. -
40:46 - 40:52Each of them symbolized by the letter “C,”
the hard “C.” Nonetheless, when you -
40:52 - 40:56pay attention to the way you pronounce them,
you notice that in fact, you pronounce them -
40:56 - 41:02in very different parts of the mouth. Try
it. Cape Cod, Cape Cod… “c,” “c”. -
41:02 - 41:09In one case, the “c” is produced way
back in the mouth; the other it’s produced -
41:09 - 41:14much farther forward. We don’t notice
that we pronounce “c” in two different -
41:14 - 41:20ways depending whether it comes before an
“a” or an “ah,” but that difference -
41:20 - 41:25forms a difference in the shape of the resonant
cavity in our mouth which produces a very -
41:25 - 41:32different wave form. And unless a computer
is specifically programmed to take that variability -
41:32 - 41:38into account, it will perceive those two different
“c’s,” as a different sound that objectively -
41:38 - 41:45speaking, they really are: “c-eh” “c-oa”.
They really are different sounds, but our -
41:45 - 41:49brain lumps them together.
The other reason that speech recognition is -
41:49 - 41:55such a difficult problem is because of the
absence of segmentation. Now we have an -
41:55 - 42:02illusion when we listen to speech that consists
of a sequence to sounds corresponding to words. -
42:02 - 42:07But if you actually were to look at the
wave form of a sentence on a oscilloscope, -
42:07 - 42:11there would not be little silences between
the words the way there are little bits of -
42:11 - 42:17white space in printed words on a page, but
rather a continuous ribbon in which the end -
42:17 - 42:21of one word leads right to the beginning of
the next. -
42:21 - 42:23It’s something that we’re aware of…
It’s something that we’re aware of when -
42:23 - 42:28we listen to speech in a foreign language
when we have no idea where one word ends and -
42:28 - 42:33the other one begins. In our own language,
we detect the word boundaries simply because -
42:33 - 42:39in our mental lexicon, we have stretches of
sound that correspond to one word that tell -
42:39 - 42:44us where it ends. But you can’t get that
information from the wave form itself. -
42:44 - 42:49In fact, there’s a whole genre of wordplay
that takes advantage of the fact that word -
42:49 - 42:56boundaries are not physically present in the
speech wave. Novelty songs like Mairzy doats -
42:56 - 43:01and dozy doats and liddle lamzy divey A
kiddley divey too, wooden shoe? Now, -
43:01 - 43:07it turns out that this is actually a grammatical
sequence in words in English… Mares eat -
43:07 - 43:16oats and does eat oats and little lambs eat
ivy, a kid'll eat ivy too, wouldn’t you? -
43:16 - 43:24When it is spoken or sung normally, the boundaries
between words are obliterated and so the same -
43:24 - 43:30sequence of sounds can be perceived either
as nonsense or if you know what they’re -
43:30 - 43:35meant to convey, as sentences.
Another example familiar to most children, -
43:35 - 43:41Fuzzy Wuzzy was a bear, Fuzzy Wuzzy had
no hair. Fuzzy Wuzzy wasn’t very fuzzy, -
43:41 - 43:49was he? And the famous dogroll, I scream,
you scream, we all scream for ice cream. -
43:49 - 43:56We are generally unaware of how unambiguous
language is. In context, we effortlessly -
43:56 - 44:02and unconsciously derive the intended meaning
of a sentence, but a poor computer not equipped -
44:02 - 44:09with all of our common sense and human abilities
and just going by the words and the rules -
44:09 - 44:14is often flabbergasted by all the different
possibilities. Take a sentence as simple -
44:14 - 44:20as “Mary had a little lamb,” you might
think that that’s a perfectly simple unambiguous -
44:20 - 44:25sentence. But now imagine that it was continued
with “with mint sauce.” You realize -
44:25 - 44:30that “have” is actually a highly ambiguous
word. As a result, the computer translations -
44:30 - 44:35can often deliver comically incorrect results.
-
44:35 - 44:40According to legend, one of the first computer
systems that was designed to translate from -
44:40 - 44:45English to Russian and back again did the
following given the sentence, “The spirit -
44:45 - 44:51is willing, but the flesh is weak,” it translated
it back as “The vodka is agreeable, but -
44:51 - 45:00the meat is rotten.”
So why do people understand language so much -
45:00 - 45:05better than computers? What is the knowledge
that we have that has been so hard to program -
45:05 - 45:11into our machines? Well, there’s a third
interface between language and the rest of -
45:11 - 45:18the mind, and that is the subject matter of
the branch of linguistics called Pragmatics, -
45:18 - 45:25namely, how people understand language in
context using their knowledge of the world -
45:25 - 45:29and their expectation about how other speakers
communicate. -
45:29 - 45:34The most important principle of Pragmatics
is called “the cooperative principle,” -
45:34 - 45:40namely; assume that your conversational partner
is working with you to try to get a meaning -
45:40 - 45:46across truthfully and clearly. And our knowledge
of Pragmatics, like our knowledge of syntax -
45:46 - 45:54and phonology and so on, is deployed effortlessly,
but involves many intricate computations. -
45:54 - 45:59For example, if I were to say, “If you
could pass the guacamole, that would be awesome.” -
45:59 - 46:05You understand that as a polite request
meaning, give me the guacamole. You don’t -
46:05 - 46:13interpret it literally as a rumination about
a hypothetical affair, you just assume that -
46:13 - 46:18the person wanted something and was using
that string of words to convey the request -
46:18 - 46:24politely.
Often comedies will use the absence of pragmatics -
46:24 - 46:30in robots as a source of humor. As in the
old “Get Smart” situation comedy, which -
46:30 - 46:36had a robot named, Hymie, and a recurring
joke in the series would be that Maxwell Smart -
46:36 - 46:42would say to Hymie, “Hymie, can you give
me a hand?” And then Hymie would go, {sound}, -
46:42 - 46:48remove his hand and pass it over to Maxwell
Smart not understanding that “give me a -
46:48 - 46:54hand,” in context means, help me rather
than literally transfer the hand over to me. -
46:54 - 46:56
Or take the following example of Pragmatics -
46:56 - 47:01in action. Consider the following dialogue,
Martha says, “I’m leaving you.” John -
47:01 - 47:08says, “Who is he?” Now, understanding
language requires finding the antecedents -
47:08 - 47:15pronouns, in this case who the “he” refers
to, and any competent English speaker knows -
47:15 - 47:21exactly who the “he” is, presumably John’s
romantic rival even though it was never stated -
47:21 - 47:28explicitly in any part of the dialogue. This
shows how we bring to bear on language understanding -
47:28 - 47:36a vast store of knowledge about human behavior,
human interactions, human relationships. And -
47:36 - 47:44we often have to use that background knowledge
even to solve mechanical problems like, who -
47:44 - 47:50does a pronoun like “he” refer to. It’s
that knowledge that’s extraordinarily difficult, -
47:50 - 47:58to say the least to program into a computer.
-
47:58 - 48:03Language is a miracle of the natural world
because it allows us to exchange an unlimited -
48:03 - 48:12number of ideas using a finite set of mental
tools. Those mental tools comprise a large -
48:12 - 48:20lexicon of memorized words and a powerful
mental grammar that can combine them. Language -
48:20 - 48:26thought of in this way should not be confused
with writing, with the prescriptive rules -
48:26 - 48:32of proper grammar or style or with thought
itself. -
48:32 - 48:37Modern linguistics is guided by the questions,
though not always the answers suggested by -
48:37 - 48:43the linguist known as Noam Chomsky, namely
how is the unlimited creativity of language -
48:43 - 48:51possible? What are the abstract mental structures
that relate word to one another? How do children -
48:51 - 48:55acquire them?
What is universal across languages? And -
48:55 - 49:04what does that say about the human mind?
The study of language has many practical applications -
49:04 - 49:10including computers that understand and speak,
the diagnosis and treatment of language disorders, -
49:10 - 49:17the teaching of reading, writing, and foreign
languages, the interpreting of the language -
49:17 - 49:23of law, politics and literature.
But for someone like me, language is eternally -
49:23 - 49:29fascinating because it speaks to such fundamental
questions of the human condition. [Language] -
49:29 - 49:35is really at the center of a number of different
concerns of thought, of social relationships, -
49:35 - 49:41of human biology, of human evolution, that
all speak to what’s special about the human -
49:41 - 49:45species.
Language is the most distinctively human talent. -
49:45 - 49:50Language is a window into human nature,
and most significantly, the vast expressive -
49:50 -power of language is one of the wonders of
the natural world. Thank you.
- Title:
- Steven Pinker: Linguistics as a Window to Understanding the Brain
- Description:
-
Steven Pinker - Psychologist, Cognitive Scientist, and Linguist at Harvard University
How did humans acquire language? In this lecture, best-selling author Steven Pinker introduces you to linguistics, the evolution of spoken language, and the debate over the existence of an innate universal grammar. He also explores why language is such a fundamental part of social relationships, human biology, and human evolution. Finally, Pinker touches on the wide variety of applications for linguistics, from improving how we teach reading and writing to how we interpret law, politics, and literature.
The Floating University
Originally released September, 2011.Additional Lectures:
Michio Kaku: The Universe in a Nutshell http://www.youtube.com/watch?v=0NbBjNiw4tkJoel Cohen: Joel Cohen: An Introduction to Demography (Malthus Miffed: Are People the Problem?) http://www.youtube.com/watch?v=2vr44C_G0-o
- Video Language:
- English
- Team:
Captions Requested
- Duration:
- 50:01
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