Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
© Pactera. Confidential. All Rights Reserved. 1
Balancing Translation Time and Accuracy
for Video Content
Xiao Yuan (Pacte...
© Pactera. Confidential. All Rights Reserved. 2
 A daily average of 2
hours on watching
online video per user
 YouTube h...
An Example of “Bad” Machine Translation (1)
© Pactera. Confidential. All Rights Reserved. 3
An Example of “Bad” Machine Translation (2)
© Pactera. Confidential. All Rights Reserved. 4
How To Choose The Right Translation?
© Pactera. Confidential. All Rights Reserved. 5
Pactera
translators
Crowdsourced
feed...
© Pactera. Confidential. All Rights Reserved. 6
What We Have Achieved So Far
© Pactera. Confidential. All Rights Reserved. 7
Technology
Integration
6000+
Hours of Videos
...
Conclusion
© Pactera. Confidential. All Rights Reserved. 8
We estimate to help customers save more than 50% of
costs in tr...
Xiao Yuan
Localization Director China Division
xiao.yuan@pactera.com
WeChat ID: 18910015818
Upcoming SlideShare
Loading in …5
×

Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (Pactera)

526 views

Published on

As contents published on the Internet are becoming more and more dominated by videos, requirements on the language translation have also changed. Specifically, video publishers and distributors have a significant interest in balancing both the translation time and the accuracy. To this end, Pactera has invested in solutions, which leverage machine translation to reduce the overall translation time, and recruit human translators to improve the accuracy in a Wikipedia-like fashion. At Pactera, we aim to help video contents to reach billions of people that were not possible before.

  • DOWNLOAD FULL ▶ ▶ ▶ ▶ http://bit.ly/2KsDJcd ◀ ◀ ◀ ◀
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (Pactera)

  1. 1. © Pactera. Confidential. All Rights Reserved. 1 Balancing Translation Time and Accuracy for Video Content Xiao Yuan (Pactera Technology Limited)
  2. 2. © Pactera. Confidential. All Rights Reserved. 2  A daily average of 2 hours on watching online video per user  YouTube has more than 1 billion videos with machine- translated captions Can Machine Translation Solve All Problems?  Minimize the cost and the time in fixing machine translation errors Industry Trend Challenges
  3. 3. An Example of “Bad” Machine Translation (1) © Pactera. Confidential. All Rights Reserved. 3
  4. 4. An Example of “Bad” Machine Translation (2) © Pactera. Confidential. All Rights Reserved. 4
  5. 5. How To Choose The Right Translation? © Pactera. Confidential. All Rights Reserved. 5 Pactera translators Crowdsourced feedback Machine translation Pactera judging system • Based on our PactWork crowdsourcing platform • Text analysis
  6. 6. © Pactera. Confidential. All Rights Reserved. 6
  7. 7. What We Have Achieved So Far © Pactera. Confidential. All Rights Reserved. 7 Technology Integration 6000+ Hours of Videos 200+ Languages 20000+ language Specialists
  8. 8. Conclusion © Pactera. Confidential. All Rights Reserved. 8 We estimate to help customers save more than 50% of costs in translation While machine translation can quickly translate a large amount of online video content, it is still not perfect Pactera provides crowdsourcing platform to improve the machine translation accuracy from 60% to > 90% Quality Cost Accuracy
  9. 9. Xiao Yuan Localization Director China Division xiao.yuan@pactera.com WeChat ID: 18910015818

×