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MyMemory Creating the world’s largest Translation Memory Marco Trombetti Translated ASLIB, London November 2009 http://mymemory.translated.net
Translated Language Service Provider Human Translation in 80 languages, 9000 customers, 100K translations delivered. Core Technology A fully automated translation workflow. Customers can access 35,000 translators through a Web Service.
Translation Memories fail! Prob(10-word-sentence)  is too small
Why is MT not focused towards helping HT? Source: Allied Business Intelligence
My wish-list for the perfect TM Platform MyMemory Billions of segments, but still FAST Web 2.0, Wiki-like contributions One-click upload/download of TM Adaptive matching, a priori probability Propagate changes in real-time Fully integrated statistical MT Open standard and CAT support
The Solution Free, Collaborative Web Translation Memory
Barriers to contribution Privacy and IP Time vs Value
Will people contribute? Yes! 100 words per second for 1,5 years 5 Billion words
Sources
Benefits LSP & Clients More control  Free contribution from professionals & the crowd Quick reference and QA Translators Quick and relevant reference Improved organisation and usability Free memories
Technology Challenges ScalableRealTimeIndexing Adaptive Ranking  Cost-EffectiveScalability
Generating the interest Pre-Populate Makeit easy tocontribute Makeit free
Protecting IP Private memories Hidepropernouns One-clickto report abuse Robots.txt
Quality Feedback from the crowd QA correlation Automatic QA
Is 5 Billion words is enough? No. Professional translators produce Tens of billions of words per year
Next Steps More data & technology More data extraction from the web Real time SMT training Every CAT tool connected QA crowd platform Fast and cost-effective MT evaluation Parallel corpus evaluation and clean-up

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My Memory Keynote London Aslib Marco Trombetti

  • 1. MyMemory Creating the world’s largest Translation Memory Marco Trombetti Translated ASLIB, London November 2009 http://mymemory.translated.net
  • 2. Translated Language Service Provider Human Translation in 80 languages, 9000 customers, 100K translations delivered. Core Technology A fully automated translation workflow. Customers can access 35,000 translators through a Web Service.
  • 3. Translation Memories fail! Prob(10-word-sentence) is too small
  • 4. Why is MT not focused towards helping HT? Source: Allied Business Intelligence
  • 5. My wish-list for the perfect TM Platform MyMemory Billions of segments, but still FAST Web 2.0, Wiki-like contributions One-click upload/download of TM Adaptive matching, a priori probability Propagate changes in real-time Fully integrated statistical MT Open standard and CAT support
  • 6. The Solution Free, Collaborative Web Translation Memory
  • 7. Barriers to contribution Privacy and IP Time vs Value
  • 8. Will people contribute? Yes! 100 words per second for 1,5 years 5 Billion words
  • 10. Benefits LSP & Clients More control Free contribution from professionals & the crowd Quick reference and QA Translators Quick and relevant reference Improved organisation and usability Free memories
  • 11. Technology Challenges ScalableRealTimeIndexing Adaptive Ranking Cost-EffectiveScalability
  • 12. Generating the interest Pre-Populate Makeit easy tocontribute Makeit free
  • 13. Protecting IP Private memories Hidepropernouns One-clickto report abuse Robots.txt
  • 14. Quality Feedback from the crowd QA correlation Automatic QA
  • 15. Is 5 Billion words is enough? No. Professional translators produce Tens of billions of words per year
  • 16. Next Steps More data & technology More data extraction from the web Real time SMT training Every CAT tool connected QA crowd platform Fast and cost-effective MT evaluation Parallel corpus evaluation and clean-up