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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...
Problem #1: User Experience
Did you like the task of post-editing?
Moorkens and O’Brien (2015)
Yes No
Fix UX problems
with...
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 ...
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
1,23...
CAT Tool REST API
GET /tr?prefix=Lonely
GET /tr?prefix=Lonely%20rivers
GET /tr?prefix=Lonely%20rivers…
POST /mem?source=&t...
Supercharge the Textarea: lilt.js
Enhance existing UIs
Better/faster
crowd/community translation
In-context → sites and ap...
There’s never been a better time to
stop post-editing
For the Win!
TAUS Game Changer Innovation Contest - The Invaders
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TAUS Game Changer Innovation Contest - The Invaders

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Hosted by Paula Shannon (Lionbridge)
TAUS has invited insider and invader innovators, small and large companies, start-ups and established players, participate in a contest for the best innovator. On this first day of the TAUS Annual Conference, the invaders compete.

Published in: Technology
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TAUS Game Changer Innovation Contest - The Invaders

  1. 1. A Bad Idea Since 1965 Post-Editing !! Introducing Interactive, Adaptive MT Spence Green spence@lilt.com
  2. 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. 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. 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. 5. Recap MT + Post-edit an approach that, generally: Translators have never liked Businesses can’t value effectively Loser !!
  6. 6. Les rivières isolées ⇒ Lonely rivers
  7. 7. Interactive predictive typing Adaptive instantly learn from feedback Responsive <0.4 sec worldwide
  8. 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. 9. 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
  10. 10. Supercharge the Textarea: lilt.js Enhance existing UIs Better/faster crowd/community translation In-context → sites and apps
  11. 11. There’s never been a better time to stop post-editing For the Win!

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