The New Post Editing Paradigm. Quinn Lam (SDL).
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Transcript of The New Post Editing Paradigm. Quinn Lam (SDL).
PowerPoint Presentation
The New Post Editing ParadigmWith SDLs Real-time MT LearningQuinn LamOctober 12, 2015
SDL Proprietary and Confidential
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Current MT systems are static
MT ProviderUsers Organization
MT Enginexx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Editedxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Received
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The Quality Equation of Statistical MTAmount of dataMT Quality
More data
Betteralgorithms
Vertical, domain-specific data
Usage/Feedback dataSDLs proprietary MT technology holds over 50 patents
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SDL Language Learning
Full video could be viewed at: http://www.sdl.com/video/sdls-language-learning-technology/82180/
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SDL Language Learninghttp://www.sdl.com/video/sdls-language-learning-technology/82180/
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MT & Users Interaction with Language Learning
SDL MTUsers Organization
MT EngineBob----- --- --- ------ ---- ----- - --- -- --- ---- ------ -- --- - -Translate
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MT & Users Interaction with Language Learning
SDL MTUsers Organization
MT EngineBobxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx
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MT & Users Interaction with Language Learning
SDL MTUsers Organization
MT EngineBobReceivedxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx
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MT & Users Interaction with Language Learning
SDL MTUsers Organization
MT EngineBobxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Editedxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Received
LL Component
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MT & Users Interaction with Language Learning
SDL MTUsers Organization
MT EngineBobxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Editedxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Received
LL Component
----- --- --- --- - --- ------ - --- -- -- - -- ------ -- - --- --TranslateZoe
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MT & Users Interaction with Language Learning
SDL MTUsers Organization
MT EngineBobxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Editedxx x xxx xx xxxxx xxxx xxx x x xx x xxx x xx Received
LL Component
xx xxx x xxxx xxx xx xxxx xxxx xx x xxxxx Zoe
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Translation Memory MatchPost-Editing + CAT Tools + MTElapsed TimeCumulative Words Translated
2k words/day
HTTranslation Efficiency w/CAT tools (~4x HT)
Translation Efficiency w/MT
Difference of Sum of edits
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12
Translation Memory MatchPost-Editing + CAT Tools + MT w/Language LearningElapsed TimeCumulative Words Translated
HT (~ 2k words/day)Translation Efficiency w/CAT tools (~4x HT)
Translation Efficiency w/MT & Language Learning2k words/day
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SDL MT InnovationHighly scalable and responsiveEvolved from traditional static MT systems to dynamic systems that learn how improve itself from post-editors correctionsMinimize repetitive edits for Post-Editors, freeing time to do more new translationProvide significant translation productivity over time, equating to cost savings for organizationsHelp their company keep up with high throughput demands and stay ahead of the curve
Difference of Sum of editsSDLs Proprietary MT technology with Language Learning
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14