Slides of our pitch at the Hackathon for Peace, Justice and Security, for our project for Translators Without Borders

1. 😸🤖

2. 😸🤖
CAT/AI

3. 😸🤖
Computer Assisted Translation
Assessment for Impact
CAT/AI

4. (Mandatory context slide)

5. (Mandatory context slide)
Task
Assessing the impact of translation requests

6. Where to start?

7. Where to start?

8. Where to start?

9. Where to start?

10. In conclusion
People are bad at describing impact 😏

11. The Solution

12. The Data Scientist’s
Solution

13. The Data Scientist’s
Solution
• Throw some AI at it 🤖

14. The Data Scientist’s
Solution
• Throw some AI at it 🤖

15. The Data Scientist’s
Solution
• Throw some AI at it 🤖
• No clear target

16. The Data Scientist’s
Solution
• Throw some AI at it 🤖
• No clear target
(yes, computers are bad at it too 😏)

17. The Solution

18. The Solution

19. The Solution
Expert knowledge is indispensable

20. The Solution
Expert knowledge is indispensable
Machines can find patterns we cannot

21. Active Learning!

22. Active Learning!
Machine Learning paradigm where
the algorithm asks experts to label specific data

23. Classify dog / food

24. Classify dog / food

25. Classify dog / food

27. Algorithm asks for help
where needed

28. Gains
Largest improvement with smallest effort

29. Gains
Largest improvement with smallest effort
🤖

30. Gains
Largest improvement with smallest effort
🤖
with smallest effort

31. Gains
Largest improvement with smallest effort
🤖
👤
with smallest effort

32. Back to us

33. 🎉 We have an actual
running system! 🎉

34. 🎉 We have an actual
running system! 🎉
And it lives on THE INTERNET

35. 🎉 We have an actual
running system! 🎉
And it lives on THE INTERNET
(here: twb.graus.nu)

36. 2 parts
1. Active learning Interface
2. Impact Ranker

46. <Magic loop>

47. <Magic loop>
1. 👤 Send feedback to algorithm

48. <Magic loop>
1. 👤 Send feedback to algorithm
2. 🤖 Re-train algorithm

49. <Magic loop>
1. 👤 Send feedback to algorithm
2. 🤖 Re-train algorithm
3. 🤖 Re-rank existing documents

50. <Magic loop>
1. 👤 Send feedback to algorithm
2. 🤖 Re-train algorithm
3. 🤖 Re-rank existing documents
4. 🤖 Pick a new document for the next round

54. Part 2

55. In summary

56. In summary
👤 expert knowledge is indispensable

57. In summary
👤 expert knowledge is indispensable
🤖 machines can find patterns we cannot

58. In summary
👤 expert knowledge is indispensable
🤖 machines can find patterns we cannot
= Active learning.

59. Thank you
😸🤖
We are team #7: Damsko
Sven van der Burg
David Graus (me)
Marijn Lems
Taxiarchis Papakostas
Jafar Shayan

60. Thank you
😸🤖
(try CAT/AI: twb.graus.nu)
We are team #7: Damsko
Sven van der Burg
David Graus (me)
Marijn Lems
Taxiarchis Papakostas
Jafar Shayan