The document presents a review of post-editing tools. It begins with an introduction to post-editing and comparisons of eight older toolkits. It then outlines the PET, ACCEPT and SmartMate tools and provides definitions and degrees of post-editing. The main sections compare features of different tools, including interface intuitiveness, spell/style/grammar checkers, integration of machine translation and translation memory, and confidentiality.

1. A Review of Post Editing Tools
Presentation by:
Zahra Taheri

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3. Outline
• Introduction
• Comparison of eight old toolkits
 Google translator toolkit
 SDL Trados
 Wordfast classic
 Déjà vu X2
 Systran7
 Lingotek
 Caitra
 OmegaT
 ProMT LSP9
• PET
• ACCEPT
• SmartMate
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4. Introduction
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5. Definitions of Post-Editing
• The “term used for the correction of machine
translation output by human linguists/editors”
(Veale and Way 1997)
• “… the process of improving a machine-generated
translation with a minimum of manual labor” (TAUS
report, 2010)
• A process of modification rather than revision.
(Loffler-Laurian, 1985)
• Second Slide Picture is here!
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6. Degrees of Post-Editing
• Fast (Light) Post-Editing
 Quick turn-around
 Essential corrections only
• Conventional (Full) Post-Editing
 Slower turn-around
 More corrections leading to higher quality
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7. Degrees of Post-Editing
• Decided by:
 User Requirements
 Volume
 Quality Expectations
 Turn-Around Time
 Perishability
 Text Function
(Allen 2002)
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8. Examples of Post-Editing
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9. Comparison of eight old toolkits
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10. Interface Intuitiveness
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11. Spell/Style/Grammar Checker
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12. Multiple MT entries
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13. Integration between MT and TM
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14. Auto-complete Functions
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15. QA
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16. Confidentiality
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17. Log of User’s Feedback
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18. Score for Fuzzy Match Level
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19. PET
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20. Slide Title
Product A
• Feature 1
• Feature 2
• Feature 3
Product B
• Feature 1
• Feature 2
• Feature 3
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