full transcript
From the Ted Talk "Laura Schulz: The surprisingly logical minds of babies"

Unscramble the Blue Letters

Twain meant it as a joke, of course, but he's right: There's something fascinating about science. From a few bones, we infer the eeneixsct of dinosuars. From spectral eslni, the composition of nebulae. From fruit flies, the mechanisms of ehrtdyei, and from reconstructed images of blood gfilnow through the brain, or in my case, from the behavior of very young children, we try to say something about the fundamental mechanisms of umnha cognition. In particular, in my lab in the Department of Brain and Cognitive Sciences at MIT, I have pesnt the past decade trying to understand the mystery of how children elanr so much from so little so uilyqkc. Because, it turns out that the fascinating thing about science is also a fascinating thing about children, which, to put a gentler spin on Mark Twain, is precisely their ability to draw icrh, abstract inferences rapidly and accurately from sparse, noisy data. I'm going to give you just two examples today. One is about a prolbme of generalization, and the other is about a problem of causal reasoning. And although I'm going to talk about work in my lab, this kwor is inspired by and indebted to a field. I'm ruafegtl to mentors, colleagues, and collaborators around the world.

Open Cloze

Twain meant it as a joke, of course, but he's right: There's something fascinating about science. From a few bones, we infer the _________ of dinosuars. From spectral _____, the composition of nebulae. From fruit flies, the mechanisms of ________, and from reconstructed images of blood _______ through the brain, or in my case, from the behavior of very young children, we try to say something about the fundamental mechanisms of _____ cognition. In particular, in my lab in the Department of Brain and Cognitive Sciences at MIT, I have _____ the past decade trying to understand the mystery of how children _____ so much from so little so _______. Because, it turns out that the fascinating thing about science is also a fascinating thing about children, which, to put a gentler spin on Mark Twain, is precisely their ability to draw ____, abstract inferences rapidly and accurately from sparse, noisy data. I'm going to give you just two examples today. One is about a _______ of generalization, and the other is about a problem of causal reasoning. And although I'm going to talk about work in my lab, this ____ is inspired by and indebted to a field. I'm ________ to mentors, colleagues, and collaborators around the world.

Solution

  1. work
  2. human
  3. learn
  4. lines
  5. grateful
  6. quickly
  7. heredity
  8. rich
  9. flowing
  10. existence
  11. problem
  12. spent

Original Text

Twain meant it as a joke, of course, but he's right: There's something fascinating about science. From a few bones, we infer the existence of dinosuars. From spectral lines, the composition of nebulae. From fruit flies, the mechanisms of heredity, and from reconstructed images of blood flowing through the brain, or in my case, from the behavior of very young children, we try to say something about the fundamental mechanisms of human cognition. In particular, in my lab in the Department of Brain and Cognitive Sciences at MIT, I have spent the past decade trying to understand the mystery of how children learn so much from so little so quickly. Because, it turns out that the fascinating thing about science is also a fascinating thing about children, which, to put a gentler spin on Mark Twain, is precisely their ability to draw rich, abstract inferences rapidly and accurately from sparse, noisy data. I'm going to give you just two examples today. One is about a problem of generalization, and the other is about a problem of causal reasoning. And although I'm going to talk about work in my lab, this work is inspired by and indebted to a field. I'm grateful to mentors, colleagues, and collaborators around the world.

ngrams of length 2

collocation frequency
blue balls 10
human minds 7
ball squeaks 7
yellow balls 6
video hg 4
tiny bit 3
statistical data 3
show babies 3
randomly sampled 3
machine learning 3

Important Words

  1. ability
  2. abstract
  3. accurately
  4. behavior
  5. blood
  6. bones
  7. brain
  8. case
  9. causal
  10. children
  11. cognition
  12. cognitive
  13. collaborators
  14. colleagues
  15. composition
  16. data
  17. decade
  18. department
  19. dinosuars
  20. draw
  21. examples
  22. existence
  23. fascinating
  24. field
  25. flies
  26. flowing
  27. fruit
  28. fundamental
  29. generalization
  30. gentler
  31. give
  32. grateful
  33. heredity
  34. human
  35. images
  36. indebted
  37. infer
  38. inferences
  39. inspired
  40. joke
  41. lab
  42. learn
  43. lines
  44. mark
  45. meant
  46. mechanisms
  47. mentors
  48. mit
  49. mystery
  50. nebulae
  51. noisy
  52. precisely
  53. problem
  54. put
  55. quickly
  56. rapidly
  57. reasoning
  58. reconstructed
  59. rich
  60. science
  61. sciences
  62. sparse
  63. spectral
  64. spent
  65. spin
  66. talk
  67. today
  68. turns
  69. twain
  70. understand
  71. work
  72. world
  73. young