Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (Pactera)
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© Pactera. Confidential. All Rights Reserved. 1 Balancing Translation Time and Accuracy for Video Content Xiao Yuan (Pactera Technology Limited)
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Transcript of Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (Pactera)
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Balancing Translation Time and Accuracy for Video Content
Xiao Yuan (Pactera Technology Limited)
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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
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An Example of “Bad” Machine Translation (1)
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An Example of “Bad” Machine Translation (2)
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How To Choose The Right Translation?
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Pacteratranslators
Crowdsourcedfeedback
Machine translation
Pactera judging system
• Based on our PactWork crowdsourcing platform
• Text analysis
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What We Have Achieved So Far
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Technology Integration
6000+ Hours of Videos
200+ Languages
20000+ languageSpecialists
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Conclusion
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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
