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A Bad Idea Since 1965
Post-Editing !!
Introducing Interactive, Adaptive MT
Spence Green
spence@lilt.com
Problem #1: User Experience
a slave’s eye view Beyer (1965)
“Why can’t the system learn from my corrections?”
[translators] asked over and over again.
TransType (2005)
A tedious and boring chore Bell Labs (1993)
Problem #1: User Experience
Did you like the task of post-editing?
Moorkens and O’Brien (2015)
Yes No
Fix UX problems
with training?
Problem #2: Pricing with MT
Discount for MT?
Which band?
TM # words discount
101% 1 100%
95-99% 4 30%
75-84% 8 20%
New 16 0%?
?
Input quality of MT?
Correlated w/ trans.
time
Wait for MT training?
Recap
MT + Post-edit an approach that, generally:
Translators have never liked
Businesses can’t value effectively
Loser !!
Les rivières isolées ⇒ Lonely rivers
Interactive
predictive typing
Adaptive
instantly learn from
feedback
Responsive
<0.4 sec worldwide
Pricing: Supply Chain Analytics
5,300 words @ 1,237
words / hour
Buyer → LSP
1,237 x $0.20 = $247.40
LSP → Translator
1,237 x $0.08 = $98.96
CAT Tool REST API
GET /tr?prefix=Lonely
GET /tr?prefix=Lonely%20rivers
GET /tr?prefix=Lonely%20rivers…
POST /mem?source=&target=
One price unlimited engines, unlimited users
Supercharge the Textarea: lilt.js
Enhance existing UIs
Better/faster
crowd/community translation
In-context → sites and apps
There’s never been a better time to
stop post-editing
For the Win!

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TAUS Game Changer Innovation Contest - The Invaders

  • 1. A Bad Idea Since 1965 Post-Editing !! Introducing Interactive, Adaptive MT Spence Green spence@lilt.com
  • 2. Problem #1: User Experience a slave’s eye view Beyer (1965) “Why can’t the system learn from my corrections?” [translators] asked over and over again. TransType (2005) A tedious and boring chore Bell Labs (1993)
  • 3. Problem #1: User Experience Did you like the task of post-editing? Moorkens and O’Brien (2015) Yes No Fix UX problems with training?
  • 4. Problem #2: Pricing with MT Discount for MT? Which band? TM # words discount 101% 1 100% 95-99% 4 30% 75-84% 8 20% New 16 0%? ? Input quality of MT? Correlated w/ trans. time Wait for MT training?
  • 5. Recap MT + Post-edit an approach that, generally: Translators have never liked Businesses can’t value effectively Loser !!
  • 6. Les rivières isolées ⇒ Lonely rivers
  • 7. Interactive predictive typing Adaptive instantly learn from feedback Responsive <0.4 sec worldwide
  • 8. Pricing: Supply Chain Analytics 5,300 words @ 1,237 words / hour Buyer → LSP 1,237 x $0.20 = $247.40 LSP → Translator 1,237 x $0.08 = $98.96
  • 9.
  • 10. CAT Tool REST API GET /tr?prefix=Lonely GET /tr?prefix=Lonely%20rivers GET /tr?prefix=Lonely%20rivers… POST /mem?source=&target= One price unlimited engines, unlimited users
  • 11. Supercharge the Textarea: lilt.js Enhance existing UIs Better/faster crowd/community translation In-context → sites and apps
  • 12. There’s never been a better time to stop post-editing For the Win!

Editor's Notes

  1. John and I started this company because we were disappointed with how MT was being used by people Outcome in industry is the worst possible outcome Interactive / adaptive ideas date to the 1960s, it just took some time to get them working Now they work.
  2. Fix the user experience through training?
  3. Re-translates after every word Yes, Lilt updates the phrase table / weights / features after every confirmation Yes, it would cost $$$ to do this on-premises
  4. Non-professionals benefit more from machine assistance