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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:08,008 --> 00:00:10,810 Where's the rocket? What does a rocket do? 2 00:00:11,077 --> 00:00:12,245 Zoom! 3 00:00:12,579 --> 00:00:16,750 Yeah, it goes up, up, up, up and away! 4 00:00:19,152 --> 00:00:20,253 There's the button. 5 00:00:21,087 --> 00:00:22,822 Get ready to press it. Fingers out. 6 00:00:22,889 --> 00:00:23,889 Get ready. 7 00:00:24,157 --> 00:00:24,991 Doh! 8 00:00:25,058 --> 00:00:27,527 Doh! Yeah. Excitement. 9 00:00:28,561 --> 00:00:31,197 Something quite magical happens 10 00:00:31,631 --> 00:00:34,601 at the end of a baby's first year. 11 00:00:36,336 --> 00:00:38,638 Oh! 12 00:00:38,705 --> 00:00:40,874 - Wow, look at this. - Look at this, buddy. 13 00:00:41,207 --> 00:00:44,878 Every one of them embarks on their own journey 14 00:00:46,012 --> 00:00:47,147 toward language. 15 00:00:48,014 --> 00:00:49,215 Can you say "space"? 16 00:00:50,417 --> 00:00:51,918 - Dah! - That's correct. 17 00:00:54,320 --> 00:00:57,857 Babies start learning about language before they can walk, 18 00:00:57,924 --> 00:00:59,859 often before they're even crawling. 19 00:00:59,926 --> 00:01:01,327 Is it up in the sky? 20 00:01:01,995 --> 00:01:02,996 It is. 21 00:01:03,530 --> 00:01:05,832 - There it is. Correct. - It's up there. 22 00:01:06,366 --> 00:01:09,736 Allowing them to enter into a world 23 00:01:09,803 --> 00:01:12,205 that would be unattainable without language. 24 00:01:14,307 --> 00:01:15,742 I think that would suit you. 25 00:01:15,809 --> 00:01:17,744 Look at this. Wow! 26 00:01:17,811 --> 00:01:20,480 Human language is sophisticated and complex, 27 00:01:20,547 --> 00:01:24,250 allowing us to have poetry, fiction... 28 00:01:24,317 --> 00:01:26,519 There's lots and lots of people that make it. 29 00:01:26,586 --> 00:01:28,488 So, see all those little bits? 30 00:01:28,555 --> 00:01:32,158 Including the ability to transmit this huge repertoire 31 00:01:32,225 --> 00:01:35,895 from one generation to another, to another, to another, to another, 32 00:01:35,962 --> 00:01:38,465 and what makes human civilization possible. 33 00:01:43,169 --> 00:01:44,437 Whoa! 34 00:01:44,504 --> 00:01:46,673 Into the space shuttle! 35 00:01:46,739 --> 00:01:47,739 Whoa! 36 00:01:47,774 --> 00:01:50,086 - Watch your head. - This is where we cook space spaghetti. 37 00:01:50,110 --> 00:01:52,145 And then you ask the question, 38 00:01:52,212 --> 00:01:55,315 how do they learn language? 39 00:01:55,715 --> 00:01:57,484 That's the escape hatch. 40 00:02:00,487 --> 00:02:03,022 So that they, too, can be part of the stream 41 00:02:03,423 --> 00:02:04,858 of human civilization. 42 00:02:34,521 --> 00:02:35,521 Which one? 43 00:02:37,524 --> 00:02:38,524 This one? 44 00:02:40,293 --> 00:02:41,528 Boing! 45 00:02:41,661 --> 00:02:44,731 Okay, so his stuff is packed. 46 00:02:45,198 --> 00:02:48,434 I definitely see him watching us make noises 47 00:02:48,501 --> 00:02:51,804 and him trying to grasp what we're asking him to do. 48 00:02:51,871 --> 00:02:54,174 Do you want to put your ball in here? In there. 49 00:02:55,241 --> 00:02:56,241 Good boy. 50 00:02:56,276 --> 00:02:57,644 Ready? 51 00:02:58,011 --> 00:02:59,879 One, two, three! 52 00:02:59,946 --> 00:03:01,626 Let's go for a drive. 53 00:03:03,950 --> 00:03:07,120 - Should I put the address in? - Nah, it's good. I know where we're going. 54 00:03:13,593 --> 00:03:14,894 Bah-dum. 55 00:03:16,496 --> 00:03:19,199 It must be phenomenal what is going on in their brain. 56 00:03:24,571 --> 00:03:26,906 It blows my mind that you can learn a language 57 00:03:26,973 --> 00:03:28,708 when you don't even know what a language is. 58 00:03:28,975 --> 00:03:30,777 You've got lots of things to say. 59 00:03:31,511 --> 00:03:32,679 Okay, arm. 60 00:03:32,745 --> 00:03:35,748 It's pretty crazy that a child's brain can do that. 61 00:03:35,815 --> 00:03:38,418 You gonna come out? 62 00:03:50,129 --> 00:03:55,368 When I was in college, I was headed toward being a musician. 63 00:03:58,071 --> 00:04:00,940 And I guess I was lured by... 64 00:04:01,407 --> 00:04:04,477 things like psychology and the study of language. 65 00:04:15,355 --> 00:04:18,358 So one day, I'm just sitting at the pool 66 00:04:18,424 --> 00:04:21,194 and seeing these kids at play, 67 00:04:24,197 --> 00:04:26,766 and this little girl comes out of the pool 68 00:04:26,833 --> 00:04:29,168 and she is so upset. 69 00:04:30,336 --> 00:04:33,973 She's about three, I guess her brother's maybe six, 70 00:04:34,040 --> 00:04:36,442 and he has a whole team of folks in there 71 00:04:36,509 --> 00:04:38,845 playing with this big red rubber ball. 72 00:04:43,683 --> 00:04:45,718 And she begins to tell her mom 73 00:04:45,785 --> 00:04:48,988 how upset she is that she wasn't included in the ballgame. 74 00:04:50,223 --> 00:04:54,427 But she did so with the sophisticated grammar 75 00:04:54,994 --> 00:04:57,664 and language skills of an adult, 76 00:04:57,730 --> 00:04:59,565 and I thought, "My gosh." 77 00:05:10,143 --> 00:05:12,812 I think that we have "ah-ha" moments. 78 00:05:14,681 --> 00:05:17,817 And the ah-ha moment in the pool was to say, 79 00:05:18,418 --> 00:05:19,418 "Wow. 80 00:05:19,886 --> 00:05:22,722 Look at what these kids are doing 81 00:05:23,690 --> 00:05:26,259 so early on with language." 82 00:05:27,560 --> 00:05:29,195 I wanted to understand that. 83 00:05:32,565 --> 00:05:33,966 Play with this little fella. 84 00:05:34,400 --> 00:05:35,400 Yeah. 85 00:05:35,802 --> 00:05:36,936 Should we go in there? 86 00:05:37,337 --> 00:05:38,438 What's in there? 87 00:05:38,905 --> 00:05:39,905 How are you doing? 88 00:05:42,875 --> 00:05:43,910 How are you? 89 00:05:44,377 --> 00:05:46,079 Hey, buddy. How's it going? 90 00:05:47,814 --> 00:05:49,115 You good? Yeah. 91 00:05:49,716 --> 00:05:51,851 That's gorgeous. 92 00:05:54,554 --> 00:05:57,056 It's actually taken for granted 93 00:05:57,757 --> 00:06:00,693 that we're going to know how language must work 94 00:06:00,760 --> 00:06:02,462 because we do it every day, 95 00:06:02,528 --> 00:06:05,431 because we're surrounded by it every minute. 96 00:06:14,807 --> 00:06:15,975 For the babies, 97 00:06:16,042 --> 00:06:17,143 it's just a flow. 98 00:06:25,351 --> 00:06:28,287 And they don't know any of the words yet. 99 00:06:32,225 --> 00:06:35,695 Think of what that baby needs to do to crack the system. 100 00:06:37,463 --> 00:06:40,199 They're hearing the melodies of speech 101 00:06:40,266 --> 00:06:44,137 as if it just is ongoing all the time in the environment. 102 00:06:52,044 --> 00:06:53,079 Hey! 103 00:06:53,846 --> 00:06:58,251 The real question is how they can dig into this flowing sound source, 104 00:06:58,317 --> 00:07:00,353 these ribbons of melodies. 105 00:07:00,753 --> 00:07:03,289 How do they get in there, carve 'em up, 106 00:07:03,623 --> 00:07:06,559 so that they can eventually solve the big problem 107 00:07:07,059 --> 00:07:08,961 of mapping sound to language? 108 00:07:09,028 --> 00:07:10,596 - Ooh! - Ooh! 109 00:07:18,070 --> 00:07:21,007 He's getting better at sort of communicating with us. 110 00:07:21,073 --> 00:07:25,244 and we're getting better at understanding what the noises actually mean. 111 00:07:27,980 --> 00:07:28,881 Hello. 112 00:07:28,948 --> 00:07:31,951 The tone, or the way that he says it, sort of says a lot more 113 00:07:32,018 --> 00:07:33,586 than the actual noise that he's making. 114 00:07:33,886 --> 00:07:34,886 "Dada." 115 00:07:35,922 --> 00:07:36,989 "Dada"? 116 00:07:37,190 --> 00:07:38,825 - Dada. - Yes. 117 00:07:40,593 --> 00:07:41,594 Who's that? 118 00:07:43,196 --> 00:07:45,298 - Dada. - Yes! 119 00:07:45,364 --> 00:07:46,364 Ready? 120 00:07:48,601 --> 00:07:49,735 Is Mummy coming? 121 00:07:52,605 --> 00:07:56,242 If you listen carefully, symphonies have embedded melodies 122 00:07:56,309 --> 00:07:58,778 and the same melody keeps cropping up, 123 00:07:59,278 --> 00:08:01,714 and the same thing is true in language. 124 00:08:10,890 --> 00:08:13,292 Language has its own kind of sounds. 125 00:08:13,359 --> 00:08:15,261 When we want to ask a question... 126 00:08:15,795 --> 00:08:17,063 ...we go up. 127 00:08:17,430 --> 00:08:19,866 And when we want to make a statement... 128 00:08:19,932 --> 00:08:24,170 ...you can see that I have a harsher kind of pattern in tone 129 00:08:24,604 --> 00:08:25,738 and then it goes down. 130 00:08:27,640 --> 00:08:33,312 So I wondered whether noticing those melodies 131 00:08:33,379 --> 00:08:36,849 could be one way in which babies 132 00:08:36,916 --> 00:08:38,951 could break into the sound stream 133 00:08:39,018 --> 00:08:41,020 and find the units of language, 134 00:08:41,087 --> 00:08:44,924 the words, the phrases, and the sentences. 135 00:08:57,937 --> 00:09:01,107 You know, 40 years ago we were very much out on a limb. 136 00:09:02,475 --> 00:09:06,245 There was nobody, literally no one in the world, 137 00:09:06,979 --> 00:09:11,250 who I could find who was doing music and language together. 138 00:09:11,651 --> 00:09:13,185 No one was touching it. 139 00:09:13,719 --> 00:09:15,154 What should we play with? 140 00:09:15,221 --> 00:09:16,656 Yeah? 141 00:09:16,722 --> 00:09:18,958 So we pulled a team together... 142 00:09:20,126 --> 00:09:22,628 and did an experiment to ask, 143 00:09:22,695 --> 00:09:25,865 "Could these melodies of language, the patterns, 144 00:09:26,265 --> 00:09:28,501 actually be helping us 145 00:09:28,801 --> 00:09:33,139 to break the ribbons of language into smaller units?" 146 00:09:33,205 --> 00:09:34,206 How fun is that? 147 00:09:34,473 --> 00:09:36,509 Finding the nouns and finding the verbs 148 00:09:36,576 --> 00:09:38,611 and finding the prepositional phrases 149 00:09:38,678 --> 00:09:41,080 and finding out where sentences begin and end. 150 00:09:41,747 --> 00:09:44,283 - Hey Hallie, how's it going? - It's going well. 151 00:09:44,350 --> 00:09:46,986 Cinderella lived in a great, big house, 152 00:09:47,053 --> 00:09:47,987 but it was sort of dark. 153 00:09:48,054 --> 00:09:50,356 Right. So I think we can cut right here, 154 00:09:50,423 --> 00:09:51,290 before the "but." 155 00:09:51,390 --> 00:09:54,327 We had these two samples of speech, 156 00:09:54,393 --> 00:09:58,497 and we put pauses either in natural or non-natural places. 157 00:09:58,564 --> 00:10:01,567 Cinderella lived in a great, big house, 158 00:10:02,368 --> 00:10:03,970 but it was sort of dark, 159 00:10:04,437 --> 00:10:08,474 because she had this mean, mean, mean stepmother. 160 00:10:08,608 --> 00:10:10,042 - Perfect. Great. - Yeah. Yeah. 161 00:10:10,109 --> 00:10:12,912 Let's zoom out a little bit and see if that sounds right. 162 00:10:13,613 --> 00:10:16,182 Cinderella lived in a great, big house, 163 00:10:16,248 --> 00:10:17,248 but it was... 164 00:10:17,750 --> 00:10:18,651 sort of dark, 165 00:10:18,718 --> 00:10:19,719 because she had... 166 00:10:20,286 --> 00:10:23,589 this mean, mean, mean stepmother. 167 00:10:23,656 --> 00:10:25,191 Oh, wow! 168 00:10:25,257 --> 00:10:27,326 You are a genius. 169 00:10:27,393 --> 00:10:30,730 You have to make sure that you have the same number of pauses 170 00:10:30,796 --> 00:10:33,099 in the non-natural and the natural case. 171 00:10:33,165 --> 00:10:36,636 You have to make sure the pauses are exactly the same length. 172 00:10:37,169 --> 00:10:40,373 You can take a seat and pop Liliana on your lap. 173 00:10:40,439 --> 00:10:42,241 So we are gonna get started. 174 00:10:43,075 --> 00:10:47,613 And then we're going to play those two samples of speech for these babies, 175 00:10:47,680 --> 00:10:50,249 and each one comes out of a different speaker. 176 00:10:50,583 --> 00:10:52,985 The left side was going to have the unnatural. 177 00:10:54,387 --> 00:10:56,222 And the right side would have the natural. 178 00:10:57,490 --> 00:11:00,393 Cinderella lived in a great, big house, 179 00:11:01,060 --> 00:11:02,361 but it was sort of dark... 180 00:11:03,496 --> 00:11:07,066 because she had this mean, mean, mean stepmother. 181 00:11:09,935 --> 00:11:13,205 Cinderella lived in a great, big house, but it was... 182 00:11:14,407 --> 00:11:16,175 sort of dark, because she had... 183 00:11:16,876 --> 00:11:19,912 this mean, mean, mean stepmother. 184 00:11:20,980 --> 00:11:24,316 Then the next step is both lights blink, 185 00:11:24,383 --> 00:11:27,620 and then the baby gets to choose, right, 186 00:11:27,687 --> 00:11:30,589 which side he or she wants to look at. 187 00:11:32,291 --> 00:11:35,995 And if the melodies of speech were really giving a clue, 188 00:11:36,062 --> 00:11:37,863 then baby should recognize 189 00:11:37,930 --> 00:11:41,267 the recurrent melodies and motifs, 190 00:11:41,734 --> 00:11:45,137 and look longer at the speaker that had the natural speech. 191 00:11:45,538 --> 00:11:48,574 Cinderella lived in a great, big house, 192 00:11:49,275 --> 00:11:50,843 but it was sort of dark, 193 00:11:51,811 --> 00:11:55,514 because she had this mean, mean, mean stepmother. 194 00:12:00,386 --> 00:12:03,756 The results were really compelling, I think, 195 00:12:03,823 --> 00:12:08,527 even more stunning than we thought they were going to be. 196 00:12:11,864 --> 00:12:16,035 Babies overwhelmingly looked more quickly 197 00:12:16,102 --> 00:12:18,704 to the side that played the natural speech, 198 00:12:18,771 --> 00:12:23,242 and overwhelmingly stayed on the natural speech longer 199 00:12:23,309 --> 00:12:25,544 than they stayed on the non-natural speech. 200 00:12:30,716 --> 00:12:34,186 They're hearing the rhythm, noting where the patterns are, 201 00:12:34,420 --> 00:12:37,890 and they're hearing some of the pitch changes. 202 00:12:43,129 --> 00:12:45,998 Babies, little teeny babies, 203 00:12:46,432 --> 00:12:49,635 are actually using the music of language 204 00:12:49,702 --> 00:12:52,505 to carve out the units of language. 205 00:12:53,873 --> 00:12:57,209 What we found is that, in terms of language learning, 206 00:12:57,276 --> 00:13:00,980 babies were way more sophisticated than we had expected. 207 00:13:05,584 --> 00:13:08,954 The study was very, very well-received 208 00:13:09,021 --> 00:13:12,224 and it did help push our thinking 209 00:13:12,291 --> 00:13:14,160 in the study of language development. 210 00:13:15,594 --> 00:13:17,730 So it was kind of making the bridge 211 00:13:18,197 --> 00:13:21,567 between how you understand sounds of language 212 00:13:21,634 --> 00:13:24,537 and how you would eventually learn the grammar of language. 213 00:13:29,308 --> 00:13:30,743 - Oh. - Ow. 214 00:13:30,810 --> 00:13:31,810 Look at that. 215 00:13:34,246 --> 00:13:36,182 Oh, yes. 216 00:13:36,682 --> 00:13:39,919 I could feel this rump sticking out. 217 00:13:40,186 --> 00:13:41,287 That's for sure. 218 00:13:41,954 --> 00:13:45,224 It'll start to stretch soon and then we'll get the foot kicking out there. 219 00:13:45,291 --> 00:13:47,660 - Yeah. - It just starts to stretch its legs out. 220 00:13:48,861 --> 00:13:51,931 It's definitely a striker. You'll do one goal kicker. 221 00:13:52,398 --> 00:13:53,966 You're liking this. 222 00:13:54,033 --> 00:13:55,634 - You're liking this a lot. - Yeah. 223 00:13:57,303 --> 00:14:00,206 It's very likely that when they're in the womb 224 00:14:00,739 --> 00:14:04,510 they are picking up something about the music of language. 225 00:14:04,577 --> 00:14:05,577 Oh, there we go. 226 00:14:06,245 --> 00:14:10,683 Against the backdrop of "bu-bum, bu-bum," for the heart, 227 00:14:11,150 --> 00:14:15,254 and the swishing sound of the amniotic fluid, 228 00:14:15,321 --> 00:14:18,424 they're nonetheless hearing patterns of language. 229 00:14:18,657 --> 00:14:20,326 I'll just sit him up like that. 230 00:14:37,643 --> 00:14:39,278 Good boy. Good boy. 231 00:14:39,545 --> 00:14:40,785 Is that a funny wormy? 232 00:14:41,380 --> 00:14:42,481 Is that a funny wormy? 233 00:14:42,648 --> 00:14:43,749 Mwah! 234 00:14:45,384 --> 00:14:47,786 At just two days of age, 235 00:14:48,053 --> 00:14:52,424 we already know that babies recognize classes of language. 236 00:14:53,626 --> 00:14:55,761 They know, for example, that... 237 00:14:56,362 --> 00:15:01,433 English and some of the other Germanic languages kinda sound alike. 238 00:15:01,500 --> 00:15:02,500 Throw it. 239 00:15:02,668 --> 00:15:05,571 Whoa! Yeah, yeah, yeah, yeah, yeah, yeah! 240 00:15:06,038 --> 00:15:07,038 To Mum. 241 00:15:08,140 --> 00:15:09,408 Yay! 242 00:15:10,209 --> 00:15:12,211 That's very good. You're a very good... 243 00:15:13,412 --> 00:15:14,413 Yeah! 244 00:15:15,481 --> 00:15:16,482 Shake, shake, shake! 245 00:15:19,985 --> 00:15:21,186 Which one do you want? 246 00:15:22,421 --> 00:15:23,522 You want one of those? 247 00:15:24,290 --> 00:15:25,290 Up there? 248 00:15:25,424 --> 00:15:27,726 Bom-bom-bom-bom-bom! 249 00:15:30,829 --> 00:15:34,767 If we just take the time to have conversations with our children, 250 00:15:35,668 --> 00:15:39,138 just notice what they notice and comment on it 251 00:15:39,772 --> 00:15:42,574 and let them lead the discussion. 252 00:15:43,442 --> 00:15:44,710 And if we can do that, 253 00:15:45,110 --> 00:15:48,447 our children are gonna have strong language skills. 254 00:15:50,749 --> 00:15:51,749 Cool. 255 00:15:58,924 --> 00:16:00,559 At the end of the first year, 256 00:16:00,626 --> 00:16:02,928 these babies have kinda cracked the code 257 00:16:03,495 --> 00:16:05,965 of what the units of language are. 258 00:16:06,031 --> 00:16:08,400 - Got it? - Yeah, he got it. Woo! 259 00:16:08,968 --> 00:16:10,035 Uh-oh! 260 00:16:10,102 --> 00:16:12,071 Bye-bye, balloon. 261 00:16:12,137 --> 00:16:13,872 Bye-bye. Bye-bye. 262 00:16:14,373 --> 00:16:15,441 Bye-bye! 263 00:16:16,508 --> 00:16:20,245 And the next big job is actually finding the words. 264 00:16:34,326 --> 00:16:36,295 Do you want to learn new words, Nelson? 265 00:16:36,962 --> 00:16:40,599 New words for Nelson! New words for Nelson! 266 00:16:40,666 --> 00:16:41,834 Koala. 267 00:16:43,769 --> 00:16:44,769 Yeah. 268 00:16:47,373 --> 00:16:49,117 Yes, you want me to chase you, 269 00:16:49,141 --> 00:16:50,309 but you must come back here. 270 00:16:53,479 --> 00:16:54,646 Dinosaur! 271 00:16:54,980 --> 00:16:57,216 The dinosaur is coming! 272 00:16:57,282 --> 00:16:59,585 Dinosaur! 273 00:16:59,651 --> 00:17:02,588 Nelson, where is the dinosaur? 274 00:17:02,654 --> 00:17:04,823 He's not in there, I can tell you that. 275 00:17:04,890 --> 00:17:06,058 Where's the lion? 276 00:17:06,658 --> 00:17:09,104 Nelson's language at the moment is non-existent. 277 00:17:09,128 --> 00:17:10,195 Nelson, look. 278 00:17:10,262 --> 00:17:11,296 Going to say "lion." 279 00:17:12,398 --> 00:17:13,565 Lion. 280 00:17:16,402 --> 00:17:18,337 He only makes a few sounds. 281 00:17:18,404 --> 00:17:20,339 Lots of new words to learn. 282 00:17:20,406 --> 00:17:21,406 A rabbit. 283 00:17:23,642 --> 00:17:25,911 He understands a lot of words, I think. 284 00:17:25,978 --> 00:17:27,579 Bring Mommy the bucket. 285 00:17:28,480 --> 00:17:30,749 Well done, Nelson! 286 00:17:30,816 --> 00:17:31,683 Well done. 287 00:17:31,750 --> 00:17:32,851 Woo! 288 00:17:32,985 --> 00:17:34,896 I have high expectations of Nelson 289 00:17:34,920 --> 00:17:37,122 because he's done everything so well in advance. 290 00:17:39,992 --> 00:17:43,729 But when it comes to speaking, he's just taking a backseat. 291 00:17:58,677 --> 00:18:00,179 I have a lot of vowels. 292 00:18:00,245 --> 00:18:05,884 That's 9, 10, 11, 12, 13, 14, 15. 293 00:18:06,051 --> 00:18:07,051 Coming back. 294 00:18:08,520 --> 00:18:09,755 - Hmm. - Hmm. 295 00:18:09,822 --> 00:18:10,822 Hmm. 296 00:18:12,558 --> 00:18:15,327 So I can trace my interest in language 297 00:18:15,394 --> 00:18:19,164 way back to when I was around nine or ten, 298 00:18:19,231 --> 00:18:20,999 and to a dinner table incident. 299 00:18:21,300 --> 00:18:24,403 Uh-oh. Uh-oh. The triple word score, she's going in. 300 00:18:24,470 --> 00:18:26,047 - I'll just... - What are you trying to... 301 00:18:26,071 --> 00:18:27,940 My mother was a professor who studied 302 00:18:28,006 --> 00:18:30,843 the effects of brain damage on adults. 303 00:18:30,909 --> 00:18:33,612 I'm gonna open up the triple word for someone else, 304 00:18:33,679 --> 00:18:35,747 because that's the kind of person I am. 305 00:18:36,615 --> 00:18:38,317 And I remember one night at dinner, 306 00:18:38,383 --> 00:18:44,156 she told my dad this story about a patient that had lost all of their nouns. 307 00:18:44,957 --> 00:18:47,693 They'd lost all their nouns, except one. 308 00:18:48,227 --> 00:18:50,963 This man only knew the word "shopping center," 309 00:18:51,296 --> 00:18:55,000 and he used that in place of all of the nouns in his sentences. 310 00:18:55,400 --> 00:18:57,870 So he would say things like... 311 00:18:58,837 --> 00:19:01,206 "The shopping center went to the shopping center 312 00:19:01,273 --> 00:19:02,674 to buy the shopping center." 313 00:19:03,342 --> 00:19:04,576 Nonsensical, right? 314 00:19:05,544 --> 00:19:08,914 And I was really struck as a kid by how wild this was. 315 00:19:08,981 --> 00:19:12,651 Human culture rests on our ability to share knowledge. 316 00:19:13,118 --> 00:19:15,354 And so if my sense of a meaning of a word 317 00:19:15,420 --> 00:19:18,223 is vastly different than your sense of a meaning of a word, 318 00:19:18,290 --> 00:19:19,825 we're gonna talk beyond each other. 319 00:19:24,796 --> 00:19:26,031 This is where... 320 00:19:26,498 --> 00:19:29,401 I think it's where I took your mummy on our first proper date. 321 00:19:29,568 --> 00:19:30,568 The sea! 322 00:19:32,004 --> 00:19:33,004 A doggie. 323 00:19:34,173 --> 00:19:35,307 See the doggie? 324 00:19:37,409 --> 00:19:39,111 - You see the doggie? - See! See! 325 00:19:39,178 --> 00:19:40,178 See. 326 00:19:40,979 --> 00:19:42,047 See! 327 00:19:44,816 --> 00:19:47,586 She's progressed massively from being a baby 328 00:19:47,653 --> 00:19:49,154 into a person now. 329 00:19:49,388 --> 00:19:50,956 Look out for the bikes. 330 00:19:51,023 --> 00:19:51,857 Which way now? 331 00:19:51,924 --> 00:19:54,793 She's taking things in that you're telling her. 332 00:19:54,860 --> 00:19:57,462 You can almost have a conversation with her. 333 00:20:07,005 --> 00:20:08,707 She's babbling constantly now. 334 00:20:09,841 --> 00:20:11,476 No, you have it! 335 00:20:12,144 --> 00:20:13,912 If she's, like, sat on her own, 336 00:20:13,979 --> 00:20:16,215 she'll sit and just babble and play with toys. 337 00:20:17,349 --> 00:20:18,517 Hello? 338 00:20:24,089 --> 00:20:25,757 Beep! And Daddy's nose. 339 00:20:26,124 --> 00:20:28,927 We can hear where she's trying to actually say words now. 340 00:20:29,795 --> 00:20:33,165 You can really hear that there's a difference in her just babbling, 341 00:20:33,232 --> 00:20:36,268 it sounds like she's actually having a conversation with herself. 342 00:20:36,335 --> 00:20:37,869 Hello! 343 00:20:43,508 --> 00:20:44,610 Da-daddy. 344 00:20:44,676 --> 00:20:46,211 Yeah, Daddy! 345 00:20:46,278 --> 00:20:47,813 You are brilliant! 346 00:20:47,879 --> 00:20:49,014 Dada. 347 00:20:49,448 --> 00:20:50,448 Dada! 348 00:20:51,183 --> 00:20:52,584 Da... da. 349 00:20:53,518 --> 00:20:54,586 Here it is. 350 00:20:56,788 --> 00:20:57,788 Get sprayed up. 351 00:20:59,891 --> 00:21:02,628 Word learning is really, really, really central 352 00:21:02,694 --> 00:21:04,696 to language acquisition. 353 00:21:04,763 --> 00:21:06,498 Rub it all into the backs. 354 00:21:06,832 --> 00:21:10,135 It's a thing that parents seem to pay the most attention to. 355 00:21:10,435 --> 00:21:12,037 They're waiting for that first word. 356 00:21:12,104 --> 00:21:14,106 - Ready... - Swing her into the hat. 357 00:21:14,539 --> 00:21:15,539 Steady... 358 00:21:16,275 --> 00:21:17,576 And... 359 00:21:17,976 --> 00:21:20,779 But how do babies figure out where words begin and end? 360 00:21:38,397 --> 00:21:42,000 When I started graduate school in the early 1990s... 361 00:21:42,067 --> 00:21:43,201 Small chai latte? 362 00:21:43,268 --> 00:21:44,268 Mm-hmm. For here. 363 00:21:44,770 --> 00:21:46,738 ...there was a lot of emphasis on 364 00:21:46,805 --> 00:21:50,742 what kinds of statistical information lives in the environment. 365 00:21:50,809 --> 00:21:53,045 $1.52 is gonna be your change. 366 00:21:53,111 --> 00:21:54,112 Perfect, thanks. 367 00:21:54,179 --> 00:21:56,782 So much of we do all the time, 368 00:21:56,848 --> 00:22:00,085 whether we're aware of it or not, is a form of data processing. 369 00:22:00,352 --> 00:22:01,512 Jenny, your chai. 370 00:22:01,553 --> 00:22:03,031 - Thank you so much. - You're welcome. 371 00:22:03,055 --> 00:22:05,457 I thought it seemed really natural to ask 372 00:22:05,524 --> 00:22:09,661 whether maybe babies figure out where words begin and end 373 00:22:09,728 --> 00:22:11,930 by tracking the statistics of sound. 374 00:22:13,465 --> 00:22:15,600 So, what kind of statistics might this be? 375 00:22:15,667 --> 00:22:18,236 What kind of math are our brains doing? 376 00:22:18,303 --> 00:22:20,439 It's pretty simple stuff, actually. 377 00:22:20,505 --> 00:22:23,208 It seems to be something akin to detecting 378 00:22:23,275 --> 00:22:27,012 which sounds tend to go together predictably. 379 00:22:38,957 --> 00:22:40,292 Imagine you're a baby 380 00:22:40,359 --> 00:22:43,495 and you hear a sequence of words like "pretty baby." 381 00:22:43,562 --> 00:22:44,496 For all they know, 382 00:22:44,563 --> 00:22:47,332 "pretty baby" is one big, long word, 383 00:22:47,399 --> 00:22:50,402 or it's four different words, "Pre, tty, ba, by." 384 00:22:51,169 --> 00:22:55,207 So how might they figure out that that's actually two different words? 385 00:22:55,907 --> 00:23:01,079 Well, if infants are able to detect the fact that the syllable "pre" 386 00:23:01,146 --> 00:23:03,582 goes frequently with the syllable "tty." 387 00:23:03,648 --> 00:23:05,751 And the syllable "ba" 388 00:23:05,817 --> 00:23:08,420 goes frequently with a syllable "by," 389 00:23:08,487 --> 00:23:11,790 that's a pretty good cue that those things belong together, 390 00:23:11,857 --> 00:23:13,325 "pretty" and "baby." 391 00:23:13,792 --> 00:23:18,296 On the other hand, "tty" and "ba," across those two words, 392 00:23:18,363 --> 00:23:20,432 don't go together very reliably at all. 393 00:23:20,499 --> 00:23:24,302 You don't hear "tty-ba" very frequently in English. 394 00:23:24,703 --> 00:23:28,173 And so that's a cue, a statistical cue, that could tell a baby, 395 00:23:28,240 --> 00:23:30,642 "Hmm, 'tty-ba, ' that's not a word." 396 00:23:39,351 --> 00:23:41,686 Hey, thank you guys so much for coming. 397 00:23:41,787 --> 00:23:43,627 - Thanks for having us. - Hey, Louella. 398 00:23:43,688 --> 00:23:45,323 Ch-ch-ch-ch-ch. 399 00:23:46,591 --> 00:23:48,727 Oh, my goodness. 400 00:23:51,830 --> 00:23:53,298 What I wanted to do 401 00:23:53,365 --> 00:23:57,169 was to come up with an experiment that would allow us to ask babies 402 00:23:57,235 --> 00:24:01,773 whether they are sensitive to the statistical properties of language... 403 00:24:03,275 --> 00:24:06,445 by keeping track of which sounds go together. 404 00:24:15,654 --> 00:24:18,190 So what I did was I made up a language. 405 00:24:18,256 --> 00:24:21,059 It's a very simple language, it just has a few made up words in it, 406 00:24:21,126 --> 00:24:24,095 things like "pabeecoo," "golatoo." 407 00:24:24,162 --> 00:24:27,499 And there's no meaning in this language, because we wanted to start simple. 408 00:24:27,566 --> 00:24:30,669 We wanted to start by stripping away everything else 409 00:24:30,735 --> 00:24:34,406 except the statistics of the speech that our participants would hear. 410 00:24:39,244 --> 00:24:43,415 And I created a stream of those words 411 00:24:43,482 --> 00:24:45,984 in random order using a synthesizer, 412 00:24:46,551 --> 00:24:48,153 but the only way to find them 413 00:24:48,220 --> 00:24:51,122 is by detecting which sounds tend to go together 414 00:24:51,189 --> 00:24:53,058 by tracking the statistics. 415 00:24:57,729 --> 00:25:01,967 For example, "pabee" and "coo" all co-occur in that word, 416 00:25:02,501 --> 00:25:04,569 but when you get to the end of "coo" 417 00:25:05,036 --> 00:25:06,671 and you get to the next word, 418 00:25:06,738 --> 00:25:10,008 there's a break in the statistics that tells you that there's a word boundary. 419 00:25:12,244 --> 00:25:14,412 She's very interested. 420 00:25:18,383 --> 00:25:20,886 So babies sit and they listen to this for two minutes. 421 00:25:21,353 --> 00:25:26,658 Over the course of that two minutes, they hear each word a lot, like 45 times. 422 00:25:27,325 --> 00:25:29,027 Her mom's doing a great job of... 423 00:25:29,628 --> 00:25:33,164 being very neutral and not influencing her behavior at all. 424 00:25:33,832 --> 00:25:34,832 Definitely. 425 00:25:39,170 --> 00:25:42,340 After listening for two minutes, the room goes silent 426 00:25:42,407 --> 00:25:47,245 and we start to test the babies to see whether infants could tell the difference 427 00:25:47,312 --> 00:25:49,047 between words in that language 428 00:25:49,114 --> 00:25:51,016 versus sequences that weren't words. 429 00:25:51,783 --> 00:25:54,853 So, in Kathy Hirsh-Pasek's research, 430 00:25:54,920 --> 00:25:58,223 babies are simply asked, "What sounds more natural to them?" 431 00:25:58,290 --> 00:26:02,894 And in those cases, babies are going to show a preference for the familiar thing. 432 00:26:03,061 --> 00:26:05,497 In our studies, we've gone a step further 433 00:26:05,564 --> 00:26:10,869 to ask not just what do they find most natural, but how did they learn it? 434 00:26:10,936 --> 00:26:15,974 And to do that, we intentionally kind of overdo the exposure 435 00:26:16,308 --> 00:26:18,243 so that we can be sure that they've learned 436 00:26:18,310 --> 00:26:19,678 what we want them to learn, 437 00:26:19,744 --> 00:26:21,746 and in that case, we expect them to get bored 438 00:26:21,813 --> 00:26:24,583 of what we've taught them and want to hear something different. 439 00:26:28,620 --> 00:26:30,455 A side light will start to blink, 440 00:26:30,522 --> 00:26:32,857 and when the baby turns to that side light, 441 00:26:32,924 --> 00:26:34,626 a sound will start to play. 442 00:26:34,826 --> 00:26:36,261 Pabeecoo. 443 00:26:36,328 --> 00:26:37,462 Pabeecoo. 444 00:26:37,829 --> 00:26:38,730 Pabeecoo. 445 00:26:38,797 --> 00:26:40,966 Either a word from the made-up language 446 00:26:41,032 --> 00:26:43,969 or a sequence that is not a word from the made-up language. 447 00:26:44,536 --> 00:26:45,870 Oopadee. 448 00:26:46,171 --> 00:26:47,172 Oopadee. 449 00:26:47,739 --> 00:26:48,739 Oopadee. 450 00:26:49,274 --> 00:26:51,209 What babies do is 451 00:26:51,276 --> 00:26:52,877 they get to listen to something 452 00:26:52,944 --> 00:26:56,748 as long as they keep their head towards the origin of that sound. 453 00:26:56,815 --> 00:26:59,484 When they look away, the sound turns off, 454 00:26:59,985 --> 00:27:02,921 and so babies can control which sounds they want to hear. 455 00:27:03,455 --> 00:27:04,655 Pabeecoo. 456 00:27:05,090 --> 00:27:06,224 Pabeecoo. 457 00:27:07,359 --> 00:27:08,393 Oopadee. 458 00:27:08,960 --> 00:27:09,960 Oopadee. 459 00:27:10,462 --> 00:27:11,796 She's doing great. 460 00:27:12,097 --> 00:27:14,599 She keeps checking out the other light, 461 00:27:14,666 --> 00:27:16,167 but then coming back. 462 00:27:16,368 --> 00:27:17,435 Pabeecoo. 463 00:27:18,436 --> 00:27:19,604 Oopadee. 464 00:27:20,405 --> 00:27:22,874 And indeed, what we found is the babies will actually 465 00:27:22,941 --> 00:27:25,043 be bored of the words in the made-up language 466 00:27:25,110 --> 00:27:27,912 and they'll turn their heads to listen longer 467 00:27:27,979 --> 00:27:30,348 to the sounds that were not words in the language. 468 00:27:30,415 --> 00:27:32,317 Oopadee. Oopadee. 469 00:27:33,518 --> 00:27:34,653 Oopadee. 470 00:27:35,120 --> 00:27:38,456 So I showed that even after just one or two minutes of exposure 471 00:27:38,523 --> 00:27:43,128 to a weird made-up language like this, infants learned the words 472 00:27:43,194 --> 00:27:45,764 by detecting which sounds tend to go together. 473 00:27:46,965 --> 00:27:49,000 And I even... I got a smile! 474 00:27:50,368 --> 00:27:53,738 Learning language is probably one of the biggest deals for babies, 475 00:27:53,805 --> 00:27:56,474 but fortunately, I don't think they're aware of that. 476 00:27:57,976 --> 00:28:00,845 Their brains seem to be very well equipped 477 00:28:00,912 --> 00:28:04,049 for the task of sorting out the pieces of languages 478 00:28:04,115 --> 00:28:05,784 and figuring out how they go together 479 00:28:05,850 --> 00:28:08,520 within the first year or two of postnatal life. 480 00:28:13,024 --> 00:28:15,460 Lily, Daddy's blowing it up. Come on, Daddy. 481 00:28:19,397 --> 00:28:21,399 What are those? What's that? 482 00:28:22,767 --> 00:28:24,936 Once you've found the chunks of sound 483 00:28:25,003 --> 00:28:27,939 that correspond to words in speech, 484 00:28:28,206 --> 00:28:29,474 the baby's next job 485 00:28:29,541 --> 00:28:33,044 is figuring out what meanings those sounds correspond to. 486 00:28:34,713 --> 00:28:36,347 Oh, Willow, look. 487 00:28:37,716 --> 00:28:38,817 Oh! 488 00:28:40,318 --> 00:28:42,153 Imagine the baby 489 00:28:42,220 --> 00:28:46,558 sees a scene that has a dog and a stick and a bone, 490 00:28:46,624 --> 00:28:48,626 and the baby hears "doggie." 491 00:28:48,693 --> 00:28:50,638 - Look. - Willow, where's the dog? 492 00:28:50,662 --> 00:28:52,130 - Where's the dog? - Willow, look. 493 00:28:53,198 --> 00:28:54,399 Oh! 494 00:28:54,466 --> 00:28:56,534 - Hello! - Look, another dog. 495 00:28:56,601 --> 00:28:58,670 Hello. How's a big boy? 496 00:28:59,070 --> 00:29:00,238 Go and say hello. 497 00:29:00,538 --> 00:29:02,107 He's a big doggie. 498 00:29:02,340 --> 00:29:05,210 Now imagine it's a little bit later and you're at the park, 499 00:29:05,777 --> 00:29:09,247 and there's a dog and a ball and a shoe... 500 00:29:10,415 --> 00:29:12,450 and you hear "doggie." 501 00:29:12,517 --> 00:29:13,651 Look, Willow. 502 00:29:14,986 --> 00:29:17,388 It's a dog. It's a dog. Can you see the dog? 503 00:29:18,022 --> 00:29:19,958 Now the only thing that's common 504 00:29:20,024 --> 00:29:23,394 across those two experiences of hearing the word "doggie" 505 00:29:23,795 --> 00:29:25,230 is the dog itself. 506 00:29:25,296 --> 00:29:28,032 Oh, look, Willow. What's that? 507 00:29:28,099 --> 00:29:30,068 There's a dog. 508 00:29:30,969 --> 00:29:32,637 - Another dog. - Wow! 509 00:29:32,704 --> 00:29:35,840 A fluffy pooch, that one. What do you see? 510 00:29:37,142 --> 00:29:40,512 Babies may be able to essentially use a process of elimination 511 00:29:41,012 --> 00:29:44,783 to figure out, "Well, there's no longer a stick and a bone there, 512 00:29:44,849 --> 00:29:46,851 so 'doggie' must refer to the dog." 513 00:29:47,485 --> 00:29:49,554 And that is statistical learning as well. 514 00:29:51,422 --> 00:29:52,422 Steady. 515 00:29:57,162 --> 00:29:58,763 Hello. 516 00:29:59,197 --> 00:30:00,698 Hi. Aww! 517 00:30:01,166 --> 00:30:02,600 Nice and gentle. 518 00:30:02,901 --> 00:30:03,835 Aww. 519 00:30:03,902 --> 00:30:05,737 She's lovely. Dog. 520 00:30:08,406 --> 00:30:11,309 We know that, thanks to statistical learning 521 00:30:11,376 --> 00:30:14,279 and other kinds of abilities young infants have, 522 00:30:14,579 --> 00:30:16,481 by the end of the first year of life 523 00:30:16,548 --> 00:30:22,353 they understand somewhere between 10 and 50 words on average, 524 00:30:22,720 --> 00:30:25,156 um, and that's really quite extraordinary 525 00:30:25,223 --> 00:30:28,660 because most of them are not saying any words yet, 526 00:30:28,726 --> 00:30:30,829 but there's a lot going on under the hood. 527 00:30:31,596 --> 00:30:32,897 Did you say "bye-bye"? 528 00:30:33,531 --> 00:30:34,666 Bye-bye. 529 00:30:34,732 --> 00:30:36,601 Bye-bye. There she goes. 530 00:30:36,668 --> 00:30:38,102 So if you think about it, 531 00:30:38,169 --> 00:30:41,272 even for a monolingual baby learning one language, 532 00:30:41,339 --> 00:30:44,108 there's a huge amount of data they have to sort through, 533 00:30:44,542 --> 00:30:46,044 but bilingual babies 534 00:30:46,110 --> 00:30:49,814 basically have to learn the statistics not just of one language, 535 00:30:49,881 --> 00:30:50,881 but of two languages. 536 00:30:58,923 --> 00:31:00,203 Wait, do you want... 537 00:31:00,258 --> 00:31:01,258 Milk. 538 00:31:01,292 --> 00:31:02,827 Yes, but wait. 539 00:31:02,894 --> 00:31:06,564 No, but I think baby is gonna have to go in the car, okay? 540 00:31:07,732 --> 00:31:08,967 In 2, 3, careful your feet. 541 00:31:12,737 --> 00:31:14,572 Well yes, you hurt me. 542 00:31:15,039 --> 00:31:16,307 No biting. 543 00:31:16,374 --> 00:31:18,009 He's hungry. 544 00:31:19,244 --> 00:31:21,446 And what are we going to give Lola then? 545 00:31:21,512 --> 00:31:23,314 You want some too, mister. 546 00:31:24,148 --> 00:31:26,117 Can you get the beans out of there, please? 547 00:31:26,618 --> 00:31:27,785 You hold it. 548 00:31:27,852 --> 00:31:30,021 You hold it 'cause I'm doing toast, okay? 549 00:31:30,088 --> 00:31:31,999 Would you like some bread? Very good. 550 00:31:32,023 --> 00:31:34,392 High five. 551 00:31:39,564 --> 00:31:43,268 There are two schools of thought about if you want to bring up bilingual children 552 00:31:43,334 --> 00:31:46,838 and it's either you speak one language in the house 553 00:31:46,905 --> 00:31:48,506 and one language out of the house... 554 00:31:48,573 --> 00:31:49,741 There's some here. 555 00:31:49,807 --> 00:31:52,677 I'll just use those ones, the red ones that I always lose. 556 00:31:52,744 --> 00:31:55,580 ...or you do what we do what we do, which is one parent, one language. 557 00:31:55,647 --> 00:31:57,315 Hugo's got that one. That one's yours. 558 00:31:57,382 --> 00:31:58,783 So as much as possible, 559 00:31:58,850 --> 00:32:00,952 Ad speaks French to the children. 560 00:32:01,019 --> 00:32:02,921 Yes. How do we say it? 561 00:32:02,987 --> 00:32:05,323 - Yes, please. - No, we say yes. 562 00:32:06,257 --> 00:32:08,660 And I speak English to the children. 563 00:32:09,060 --> 00:32:10,461 Wait until your bib's on. 564 00:32:10,929 --> 00:32:12,463 Wait until your bib is on. 565 00:32:13,498 --> 00:32:17,468 Is it nice? What are you going to eat first? The bread? 566 00:32:19,804 --> 00:32:21,606 I wouldn't say my French is fluent, 567 00:32:21,673 --> 00:32:25,076 but I understand it enough that Ad can speak to the children in French 568 00:32:25,143 --> 00:32:26,210 and I don't miss anything. 569 00:32:26,277 --> 00:32:28,746 If she does miss something, Lola will translate. 570 00:32:28,813 --> 00:32:31,683 - Yeah, which is good as well when... - What does "translate" mean? 571 00:32:31,749 --> 00:32:34,652 "Translate" means when Papa says something in French, 572 00:32:34,719 --> 00:32:37,522 and I don't understand, and you tell me what it means. 573 00:32:37,588 --> 00:32:38,948 Lola, drink your milk. 574 00:32:39,557 --> 00:32:40,557 Okay. 575 00:32:40,591 --> 00:32:41,893 What did Papa say to you? 576 00:32:42,493 --> 00:32:43,628 "Drink your milk." 577 00:32:43,695 --> 00:32:46,664 Okay. You translated for me. Do you understand? 578 00:32:46,965 --> 00:32:47,965 Yeah. 579 00:32:48,232 --> 00:32:50,234 Oi, foot down, you monkey. 580 00:32:53,104 --> 00:32:55,873 From all the soup of words that they're exposed to, 581 00:32:56,140 --> 00:32:59,410 how do they, first of all, figure out there's actually two soups. 582 00:32:59,877 --> 00:33:03,181 And then, as new stuff comes in, figure out, 583 00:33:03,247 --> 00:33:06,384 "Oh, this goes in the English pile, this goes in the Spanish pile." 584 00:33:06,851 --> 00:33:09,320 Lola, do you want any water or just milk? 585 00:33:10,188 --> 00:33:12,957 We believe that it has something to do 586 00:33:13,024 --> 00:33:14,659 with the fact that different languages 587 00:33:14,726 --> 00:33:18,896 have different characteristic rhythmic patterns and pitch patterns, 588 00:33:18,963 --> 00:33:21,566 and we know babies are sensitive to those differences 589 00:33:21,632 --> 00:33:23,968 from pretty much as early as we can test them. 590 00:33:24,035 --> 00:33:26,004 Ah! Cheeky boy. 591 00:33:26,104 --> 00:33:29,640 And so researchers believe that babies in bilingual environments 592 00:33:29,707 --> 00:33:32,610 can piece out what goes into which pile 593 00:33:32,677 --> 00:33:35,713 based on the musical properties of those languages. 594 00:33:37,882 --> 00:33:39,083 I want some more! 595 00:33:39,150 --> 00:33:41,030 Babies who learn two languages are lucky 596 00:33:41,085 --> 00:33:44,622 because it's actually much easier to learn multiple languages 597 00:33:44,689 --> 00:33:46,090 when you're a baby 598 00:33:46,157 --> 00:33:50,161 than it is when you're in secondary school or you're an adult, 599 00:33:50,228 --> 00:33:52,296 the times that we typically learn second languages. 600 00:33:52,363 --> 00:33:56,100 It's vastly easier for babies than for older children and adults. 601 00:34:10,882 --> 00:34:14,252 So why do human babies learn how to speak 602 00:34:14,318 --> 00:34:16,988 much later than they learn how to understand speech? 603 00:34:18,956 --> 00:34:22,760 You can look to animals for an answer to these questions, 604 00:34:23,094 --> 00:34:24,462 and that's what I do. 605 00:34:35,940 --> 00:34:37,742 Well, I have to tell you, 606 00:34:37,809 --> 00:34:38,809 I was once a dancer... 607 00:34:39,911 --> 00:34:41,279 and I still dance, actually. 608 00:34:45,016 --> 00:34:46,117 I danced with a passion. 609 00:34:46,184 --> 00:34:47,518 I was dancing six hours a day. 610 00:34:48,319 --> 00:34:49,754 And this was my life. 611 00:34:59,464 --> 00:35:01,065 But I also liked science. 612 00:35:06,404 --> 00:35:09,307 I was 18 years old in 1988. 613 00:35:10,575 --> 00:35:12,643 Okay, now I have to make a decision, 614 00:35:13,177 --> 00:35:15,246 and that decision rested upon, 615 00:35:15,313 --> 00:35:18,616 "What can I do to make this place a better planet?" 616 00:35:27,859 --> 00:35:30,561 And I decided I can do that more as a scientist 617 00:35:30,628 --> 00:35:32,230 than I can do as a dancer. 618 00:35:33,097 --> 00:35:36,100 And at the end of my senior concert, this decision was made 619 00:35:36,167 --> 00:35:37,668 and I never turned back. 620 00:35:50,248 --> 00:35:53,451 One of the reasons why I decided to start studying at science 621 00:35:53,518 --> 00:35:56,220 because I was fascinated as to why some animals 622 00:35:56,754 --> 00:35:59,724 can learn how to imitate sounds and others cannot. 623 00:36:01,826 --> 00:36:06,430 One of the most crucial aspects of language is vocal imitation. 624 00:36:07,165 --> 00:36:08,699 When you hear a sound, 625 00:36:09,066 --> 00:36:12,203 you are able to produce a copied version of that sound, 626 00:36:13,204 --> 00:36:15,273 or even improvise on new sounds. 627 00:36:16,240 --> 00:36:19,977 So some people think this is uniquely human, but it's not, actually. 628 00:36:23,581 --> 00:36:26,851 So what you see here is the vertebrate family tree: 629 00:36:26,918 --> 00:36:31,923 sharks, fish, frogs, lizards, snakes, turtles, birds, and mammals. 630 00:36:32,957 --> 00:36:37,228 And amongst all these tens of thousands of vertebrate species, 631 00:36:38,129 --> 00:36:40,798 only these ones here are the vocal learners. 632 00:36:41,499 --> 00:36:43,301 Three birds and five mammals. 633 00:36:43,601 --> 00:36:47,705 That's the hummingbirds, the parrots, songbirds, elephants, 634 00:36:47,772 --> 00:36:50,841 bats, dolphins, seals, and human. 635 00:36:51,609 --> 00:36:53,811 You might ask, "What is the criteria for us 636 00:36:53,878 --> 00:36:56,247 to designate these species a vocal learner?" 637 00:36:56,314 --> 00:37:00,151 You must demonstrate the ability to imitate a novel sound, 638 00:37:00,451 --> 00:37:02,920 but it's not necessary that you imitate human speech. 639 00:37:03,554 --> 00:37:06,824 Most of these species imitate sounds of their own species. 640 00:37:07,692 --> 00:37:10,828 One, two, three... 641 00:37:11,229 --> 00:37:12,730 Whoa! 642 00:37:13,831 --> 00:37:16,334 There we go. Can you help Mummy push the door open? 643 00:37:16,400 --> 00:37:19,270 Why? Is it somewhere in the brain? 644 00:37:19,570 --> 00:37:22,940 Is it somewhere in the muscles or in between? 645 00:37:23,007 --> 00:37:25,643 And if it's in the brain, what is different in the brain? 646 00:37:25,710 --> 00:37:27,612 Which way is it to the Mark Dion exhibition? 647 00:37:27,678 --> 00:37:30,514 - If you'd like to get to the exhibition... - Oh, it's just there? 648 00:37:30,581 --> 00:37:31,616 Okay, thank you. 649 00:37:31,682 --> 00:37:33,362 What in the world is going on here? 650 00:37:34,385 --> 00:37:35,920 What's in this room? 651 00:37:37,922 --> 00:37:39,624 - What's in this one? - Lily. 652 00:37:39,690 --> 00:37:41,659 Wow! 653 00:37:44,228 --> 00:37:45,696 What's that? What's in there? 654 00:37:46,797 --> 00:37:49,133 - Can you hear that, Lil? - What's this? 655 00:37:49,500 --> 00:37:50,334 Yeah. 656 00:37:50,401 --> 00:37:53,638 This is a different type of art. It's not like a picture, is it? 657 00:37:54,538 --> 00:37:56,374 Let's go inside. 658 00:37:56,440 --> 00:37:58,142 Do you want to do that door, Lily? 659 00:37:58,242 --> 00:37:59,944 We decided to look at songbirds 660 00:38:00,011 --> 00:38:03,648 because it was the best non-human species being studied 661 00:38:03,714 --> 00:38:06,217 that had this vocal imitation ability. 662 00:38:06,617 --> 00:38:07,985 Wow! 663 00:38:08,452 --> 00:38:10,388 Look, can you see the birds flying? 664 00:38:14,492 --> 00:38:16,861 Do you think they're talking or singing, Adam? 665 00:38:16,994 --> 00:38:20,364 I don't know, it looks like the same two are, like, together a lot 666 00:38:20,431 --> 00:38:22,266 and they're going around in couples. 667 00:38:22,333 --> 00:38:25,002 I'd guess they're talking if they're going around in twos. 668 00:38:25,536 --> 00:38:27,538 I think they're speaking to each other. 669 00:38:27,605 --> 00:38:30,441 Maybe they're complaining about each other to the other one. 670 00:38:30,508 --> 00:38:31,676 I don't know. 671 00:38:32,943 --> 00:38:34,445 By studying these animals, 672 00:38:34,512 --> 00:38:38,049 it's helping us understand how babies acquire language, 673 00:38:38,115 --> 00:38:41,652 because we think the mechanism of how babies are learning language 674 00:38:41,719 --> 00:38:43,487 is similar to the mechanism 675 00:38:43,554 --> 00:38:46,290 of how these animals are learning new novel sounds. 676 00:38:48,392 --> 00:38:49,760 Yeah. 677 00:38:49,827 --> 00:38:51,862 Did you see them? Can you hear them as well? 678 00:38:53,497 --> 00:38:54,999 They're talking to each other. 679 00:38:57,034 --> 00:39:00,805 When I started this research in 1989, 680 00:39:00,871 --> 00:39:03,307 there were plenty of people who were just thinking, 681 00:39:03,374 --> 00:39:06,677 "Humans are unique. Don't even bother studying the songbirds. 682 00:39:06,844 --> 00:39:09,313 And if they're doing something similar to a human, 683 00:39:09,380 --> 00:39:12,817 they're doing it a different way, or it's not as advanced, 684 00:39:12,883 --> 00:39:15,453 it's not as sophisticated, so don't even bother." 685 00:39:15,519 --> 00:39:18,723 You see one there? Look! Look, just there. 686 00:39:19,490 --> 00:39:21,058 - Ooh! - They're being friendly. 687 00:39:21,125 --> 00:39:24,195 I wanted to go by scientific evidence. 688 00:39:24,328 --> 00:39:25,663 Say "sweet bird." 689 00:39:26,163 --> 00:39:29,200 I had to prove that if the brain pathways 690 00:39:29,266 --> 00:39:32,570 that controlled vocal learning behavior was similar 691 00:39:32,837 --> 00:39:35,673 or that it was not similar to humans. 692 00:39:40,311 --> 00:39:41,311 Going up. 693 00:39:46,984 --> 00:39:48,252 To do this research, 694 00:39:48,586 --> 00:39:50,087 we just let the birds sing. 695 00:39:52,256 --> 00:39:54,759 And when we imaged the birds' brains, 696 00:39:54,825 --> 00:39:56,994 we can see the brain areas that were activated. 697 00:40:09,340 --> 00:40:10,808 So what you see here 698 00:40:11,175 --> 00:40:14,378 is an image of a part of a brain of a songbird. 699 00:40:14,445 --> 00:40:16,847 So the animal's beak is here 700 00:40:16,914 --> 00:40:18,549 and this is the back of the head here. 701 00:40:18,949 --> 00:40:21,018 And these are the areas that light up 702 00:40:21,819 --> 00:40:24,255 when a bird sings its learned vocalizations. 703 00:40:24,889 --> 00:40:29,226 These are similar to brain regions that we have for speech. 704 00:40:31,128 --> 00:40:34,632 How in the world did all these species get a similar circuit? 705 00:40:35,232 --> 00:40:36,667 We didn't have an answer. 706 00:40:52,016 --> 00:40:54,552 Eight years later, an accidental discovery. 707 00:40:55,119 --> 00:40:59,790 I was helping a colleague try to identify brain areas involved in bird migration. 708 00:41:01,826 --> 00:41:04,361 And one of the things we had to do was 709 00:41:04,428 --> 00:41:07,765 to get the birds to just flap their wings and make movement behavior 710 00:41:07,832 --> 00:41:09,867 as if they're going to fly and migrate, 711 00:41:09,934 --> 00:41:12,069 because we wanted to see the brain areas 712 00:41:12,136 --> 00:41:14,505 that were activated when they move. 713 00:41:15,506 --> 00:41:17,575 And when we imaged the brains, 714 00:41:17,641 --> 00:41:19,643 we saw a surprising result: 715 00:41:20,044 --> 00:41:22,947 activation around the song learning brain regions. 716 00:41:28,686 --> 00:41:31,288 The brain regions that were active in the hopping 717 00:41:31,355 --> 00:41:33,057 and in the moving of the wings 718 00:41:33,123 --> 00:41:36,627 were directly next to the vocal learning area. 719 00:41:37,595 --> 00:41:41,832 That told us that there must be some relationship 720 00:41:41,899 --> 00:41:43,868 between the movement areas 721 00:41:44,001 --> 00:41:46,704 and the brain areas that control spoken language. 722 00:41:52,209 --> 00:41:55,479 So that led us to the motor theory of vocal learning origin 723 00:41:55,779 --> 00:41:59,483 where you argue that the brain pathways that control speech 724 00:41:59,550 --> 00:42:02,553 evolve by duplication of the brain pathways 725 00:42:02,620 --> 00:42:05,656 that control gesturing in the hands and other body parts. 726 00:42:12,429 --> 00:42:16,267 What it means is that the vocal learning circuit of these birds, 727 00:42:16,333 --> 00:42:19,637 the speech circuit of humans, is a motor circuit, 728 00:42:20,404 --> 00:42:24,074 a set of neurons in the brain that then control muscles, 729 00:42:24,141 --> 00:42:26,277 and that's was controlling your speech. 730 00:42:26,911 --> 00:42:29,380 Willow, do you want to put this one in here? Look. 731 00:42:29,847 --> 00:42:32,783 Mama! Mama! Mama! 732 00:42:40,124 --> 00:42:41,325 Willow, push it. 733 00:42:43,360 --> 00:42:49,033 So, think of spoken language as learning how to coordinate your body. 734 00:42:50,100 --> 00:42:52,469 It's using a similar kind of circuit. 735 00:42:54,138 --> 00:42:55,673 What it is? It's a bubble. 736 00:42:56,574 --> 00:42:57,574 Ba. 737 00:42:58,142 --> 00:42:59,143 Bubbles. 738 00:42:59,810 --> 00:43:01,645 Ba-ba-ba-ba. 739 00:43:01,712 --> 00:43:02,712 Bubbles. 740 00:43:04,014 --> 00:43:06,083 Ooh, look at all those bubbles. 741 00:43:07,618 --> 00:43:08,452 Bub-ble. 742 00:43:08,519 --> 00:43:11,488 This is why understanding language occurs in children 743 00:43:11,555 --> 00:43:13,123 before the ability to speak. 744 00:43:13,791 --> 00:43:16,026 Ooh! Did that one go on your nose? 745 00:43:16,093 --> 00:43:17,328 Did it go pop? 746 00:43:17,394 --> 00:43:19,096 Just like learning how to walk, 747 00:43:19,163 --> 00:43:21,465 speech comes with a delay. 748 00:43:22,900 --> 00:43:23,767 Pop. 749 00:43:23,834 --> 00:43:25,569 You've got to practice. 750 00:43:26,470 --> 00:43:27,304 Willow. 751 00:43:27,371 --> 00:43:28,772 Practice makes perfect. 752 00:43:29,440 --> 00:43:30,307 Ba. 753 00:43:30,374 --> 00:43:31,374 Pop. 754 00:43:32,943 --> 00:43:33,777 Ba. 755 00:43:33,844 --> 00:43:34,979 Bubbles. 756 00:43:35,045 --> 00:43:37,514 And it's okay if it's hard to do 757 00:43:38,115 --> 00:43:42,386 because it is a hard thing and it came later in our evolution. 758 00:43:42,886 --> 00:43:44,088 Can you say "bubble"? 759 00:43:44,488 --> 00:43:46,256 - Bubble. - Good girl. 760 00:43:48,225 --> 00:43:49,293 Pop. 761 00:43:49,360 --> 00:43:50,995 Bubble. 762 00:43:51,061 --> 00:43:52,696 Help your child practice speech. 763 00:43:52,763 --> 00:43:53,998 You see the bubbles? 764 00:43:54,064 --> 00:43:56,967 You just gotta do it over and over again. So it takes time. 765 00:44:02,573 --> 00:44:05,109 - What number is that? - Three. 766 00:44:05,175 --> 00:44:07,945 Three, Nelson. Well done! 767 00:44:08,412 --> 00:44:09,913 - What's this one? - Horsey. 768 00:44:09,980 --> 00:44:11,215 Horsey! 769 00:44:11,281 --> 00:44:12,950 - And what's that? - Monkey. 770 00:44:13,017 --> 00:44:14,518 Monkey. And what noise does it make? 771 00:44:14,652 --> 00:44:15,753 Ooh-ooh. 772 00:44:15,919 --> 00:44:18,288 Everything's coming out. 773 00:44:18,355 --> 00:44:20,758 When they start speaking, you're not expecting it. 774 00:44:20,824 --> 00:44:22,993 - And what color is this one? - Yellow! 775 00:44:23,060 --> 00:44:24,561 Yellow. 776 00:44:24,628 --> 00:44:27,407 One day I was doing something and all of a sudden, he was, 777 00:44:27,431 --> 00:44:30,167 "One, two, three." 778 00:44:30,234 --> 00:44:31,435 Four. 779 00:44:31,502 --> 00:44:32,636 Four. 780 00:44:33,671 --> 00:44:34,671 Five. 781 00:44:34,705 --> 00:44:35,705 Five. 782 00:44:36,073 --> 00:44:36,907 Six. 783 00:44:37,007 --> 00:44:38,108 Six. 784 00:44:38,442 --> 00:44:39,376 And what's this one? 785 00:44:39,443 --> 00:44:41,087 And then some random words. 786 00:44:41,111 --> 00:44:42,312 - Chicken. - Goat! 787 00:44:42,379 --> 00:44:43,213 That's a chicken. 788 00:44:43,280 --> 00:44:45,249 First of all, he started with one-word sentences 789 00:44:45,315 --> 00:44:47,217 and now he's moved on 790 00:44:47,284 --> 00:44:50,054 to two-word sentences and three word sentences. 791 00:44:50,120 --> 00:44:51,388 I'm just amazed. 792 00:44:51,822 --> 00:44:53,223 Oh, stop! 793 00:44:54,324 --> 00:44:55,225 Red. 794 00:44:55,292 --> 00:44:57,728 Red means stop, that's right. 795 00:44:58,595 --> 00:45:00,130 Baby. 796 00:45:01,331 --> 00:45:03,434 We humans are along a spectrum 797 00:45:03,967 --> 00:45:07,104 with other animals when it comes to spoken language abilities. 798 00:45:07,171 --> 00:45:09,273 - Lion. - Lion. 799 00:45:09,339 --> 00:45:11,642 - Roar. - Roar! 800 00:45:11,709 --> 00:45:13,711 But we are at the far end of the spectrum, 801 00:45:15,079 --> 00:45:18,382 allowing us to have more complex language. 802 00:45:19,383 --> 00:45:21,351 And so I've always asked the question to myself, 803 00:45:21,418 --> 00:45:26,356 "What makes us so much further at the far end of this spectrum?" 804 00:45:26,857 --> 00:45:30,761 What is different with our brains or with our genes? 805 00:45:37,201 --> 00:45:40,671 In 2012, an intriguing discovery was made 806 00:45:40,738 --> 00:45:45,776 that humans have an extra copy of one gene that functions in the brain. 807 00:45:46,110 --> 00:45:48,078 This gene is called SRGAP2. 808 00:45:49,146 --> 00:45:51,515 This extra copy of this gene in human babies 809 00:45:51,582 --> 00:45:55,152 maintains extra connections in the entire human brain 810 00:45:55,219 --> 00:45:56,653 as they become adults. 811 00:45:57,855 --> 00:46:01,792 Humans have more cells now communicating and talking with each other, 812 00:46:01,859 --> 00:46:06,697 enabling greater sharing of information among cells, but also better learning. 813 00:46:08,866 --> 00:46:09,900 Catch it. 814 00:46:11,935 --> 00:46:15,038 - Go! - Go! 815 00:46:15,105 --> 00:46:15,973 Bubble. 816 00:46:16,039 --> 00:46:17,107 Bubbles! 817 00:46:23,580 --> 00:46:26,316 So when I heard about this discovery of this extra gene, 818 00:46:26,383 --> 00:46:27,551 I put that together 819 00:46:27,618 --> 00:46:29,953 with our understanding of the language pathways 820 00:46:30,687 --> 00:46:33,957 and proposed that maybe this is what allows humans 821 00:46:34,525 --> 00:46:38,362 to be more advanced on that spectrum for language abilities 822 00:46:38,428 --> 00:46:39,496 compared to other animals. 823 00:46:44,802 --> 00:46:48,105 This would allow us to continue to add 824 00:46:48,172 --> 00:46:52,876 more sounds to our language repertoire over our lifetime. 825 00:46:52,943 --> 00:46:55,012 - Whoa, there's lots here, Pascoe. - Look up. 826 00:46:55,078 --> 00:46:58,549 And thereby allowing us to have greater ability 827 00:46:58,615 --> 00:47:01,485 to produce things like poetry, fiction, 828 00:47:02,052 --> 00:47:04,988 express our ideas, make movies, 829 00:47:05,455 --> 00:47:07,558 make shows and plays, 830 00:47:08,125 --> 00:47:09,626 and make us human. 831 00:47:09,693 --> 00:47:11,161 Ready, set... 832 00:47:14,298 --> 00:47:16,033 - Go! - Go! 833 00:47:18,936 --> 00:47:19,837 What are they? 834 00:47:19,903 --> 00:47:22,840 Learning has really accelerated recently 835 00:47:22,906 --> 00:47:26,043 and he's very forthright in telling us what he wants. 836 00:47:26,109 --> 00:47:28,111 Da-da! 837 00:47:28,979 --> 00:47:30,247 - Is that funny? - Door. 838 00:47:30,347 --> 00:47:31,748 - Door. That's right. - Door. 839 00:47:31,815 --> 00:47:34,151 I opened the door. No, you don't want to go outside yet. 840 00:47:34,218 --> 00:47:36,386 - We'll go outside later. - Too cold, too cold. 841 00:47:36,486 --> 00:47:39,423 His actual words has increased hugely, 842 00:47:39,489 --> 00:47:41,792 so he's able to communicate a lot better with us. 843 00:47:43,060 --> 00:47:44,828 He's also very good at saying "no." 844 00:47:45,762 --> 00:47:47,364 Doesn't say much "yes." 845 00:47:48,265 --> 00:47:50,167 But sometimes he says "no" with a bit of sass. 846 00:47:50,234 --> 00:47:51,802 Can you do the "no, no, no"? 847 00:47:52,436 --> 00:47:53,270 No, no. 848 00:47:53,370 --> 00:47:55,205 No, no. 849 00:47:58,775 --> 00:48:02,412 There's a confidence as well, so he can be part of the conversation. 850 00:48:03,347 --> 00:48:05,148 That means he just talks loads more. 851 00:48:05,215 --> 00:48:06,717 What's this? What's this? 852 00:48:06,917 --> 00:48:08,518 - Shoes. - Shoes, that's right. 853 00:48:08,952 --> 00:48:10,954 It is the wonder of a baby. 854 00:48:11,021 --> 00:48:13,590 - Shoes. - Shoes, that's right! 855 00:48:19,930 --> 00:48:22,599 Okay, little one. Time for a story. 856 00:48:23,533 --> 00:48:25,869 Time for sleep time. 857 00:48:26,203 --> 00:48:30,274 A Busy Day for Birds, by Lucy Cousins. 858 00:48:31,141 --> 00:48:34,478 "Can you imagine just for one day you're a busy bird? 859 00:48:34,811 --> 00:48:37,180 Here's a bird. Hooray!" 860 00:48:37,781 --> 00:48:43,387 "The sun is going down and everyone is sleepy." 861 00:48:43,453 --> 00:48:47,591 With language, we can recombine many different sounds 862 00:48:47,658 --> 00:48:48,992 into many new meanings. 863 00:48:49,059 --> 00:48:52,095 "I think we should all sit on my branch." said Sarah. 864 00:48:52,195 --> 00:48:54,498 And they did. All three together on the branch. 865 00:48:57,267 --> 00:49:00,270 Recombine syllables into words, 866 00:49:00,337 --> 00:49:02,105 words into whole sentences, 867 00:49:02,172 --> 00:49:05,475 sentences into paragraphs, paragraphs into chapters, 868 00:49:05,776 --> 00:49:07,444 chapters into whole books. 869 00:49:08,412 --> 00:49:12,115 Oh, look. Open the red coat. 870 00:49:13,116 --> 00:49:15,118 Open. On this one. 871 00:49:18,055 --> 00:49:21,058 I think stories are very magical. 872 00:49:21,858 --> 00:49:27,197 They're moments where we really connect with our children. 873 00:49:27,898 --> 00:49:29,566 Say, "Hello, darling." 874 00:49:31,735 --> 00:49:33,804 Then swoop like a starling. 875 00:49:35,105 --> 00:49:36,506 Yeah, turn the page. 876 00:49:38,241 --> 00:49:40,544 We can delve into a story 877 00:49:40,610 --> 00:49:44,581 and land in a world that we've never seen, that may not even exist. 878 00:49:45,248 --> 00:49:47,751 Having words take me to this place, 879 00:49:48,218 --> 00:49:51,021 that is a gift that human language gives us. 880 00:49:51,655 --> 00:49:53,223 Switch off the light? 881 00:49:53,590 --> 00:49:54,590 Good. 66084

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