full transcript

From the Ted Talk by Ajit Narayanan: A word game to communicate in any language

Unscramble the Blue Letters


And then I nctoied something very interesting about FreeSpeech. I was trying to convert language, convert sentences in English into senetcens in FreeSpeech, and vice versa, and back and forth. And I realized that this particular cgrnofiaitoun, this particular way of reieenpstnrg language, it allowed me to actually ctaere very conscie rules that go between FreeSpeech on one side and English on the other. So I could actually write this set of rules that translates from this particular representation into English. And so I developed this thing. I developed this thing called the FreeSpeech Engine which takes any FreeSpeech snnteece as the input and gives out perfectly grammatical English text. And by putting these two pieces together, the rrenatitsoeepn and the engine, I was able to create an app, a technology for children with autism, that not only gives them words but also gives them grammar.

Open Cloze


And then I _______ something very interesting about FreeSpeech. I was trying to convert language, convert sentences in English into _________ in FreeSpeech, and vice versa, and back and forth. And I realized that this particular _____________, this particular way of ____________ language, it allowed me to actually ______ very _______ rules that go between FreeSpeech on one side and English on the other. So I could actually write this set of rules that translates from this particular representation into English. And so I developed this thing. I developed this thing called the FreeSpeech Engine which takes any FreeSpeech ________ as the input and gives out perfectly grammatical English text. And by putting these two pieces together, the ______________ and the engine, I was able to create an app, a technology for children with autism, that not only gives them words but also gives them grammar.

Solution


  1. create
  2. concise
  3. noticed
  4. sentence
  5. configuration
  6. representation
  7. sentences
  8. representing

Original Text


And then I noticed something very interesting about FreeSpeech. I was trying to convert language, convert sentences in English into sentences in FreeSpeech, and vice versa, and back and forth. And I realized that this particular configuration, this particular way of representing language, it allowed me to actually create very concise rules that go between FreeSpeech on one side and English on the other. So I could actually write this set of rules that translates from this particular representation into English. And so I developed this thing. I developed this thing called the FreeSpeech Engine which takes any FreeSpeech sentence as the input and gives out perfectly grammatical English text. And by putting these two pieces together, the representation and the engine, I was able to create an app, a technology for children with autism, that not only gives them words but also gives them grammar.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
data structure 3
incredible amount 2
started thinking 2
infinite amount 2
eat ice 2
interesting idea 2


Important Words


  1. allowed
  2. app
  3. autism
  4. called
  5. children
  6. concise
  7. configuration
  8. convert
  9. create
  10. developed
  11. engine
  12. english
  13. freespeech
  14. grammar
  15. grammatical
  16. input
  17. interesting
  18. language
  19. noticed
  20. perfectly
  21. pieces
  22. putting
  23. realized
  24. representation
  25. representing
  26. rules
  27. sentence
  28. sentences
  29. set
  30. side
  31. takes
  32. technology
  33. text
  34. translates
  35. versa
  36. vice
  37. words
  38. write