TAUS Summit - Levels of Post Editing

1. Presented at TAUS QE Summit Dublin, May 2015

2. Topic 3: Ephemeral
Translations
Dynamic Quality Revisited:
Stakeholders, Challenges, Best
Practices
Olga Beregovaya
Lena Marg

3. An extra terrestrial’s breakthrough.

4. Ephemeral but Here to
Stay
ONCE : “future of the translation industry”
NOW: our day-to-day reality
• Wide range of translation scenarios
• Evolving quality requirements – from “transcreation –perfect” to “just
actionable”
• Multiple delivery channels
• Retiring the content almost instantly
“Common sense" or “Style Guides” or both?
The age of "new creativity"?
When do we post-edit?
What does the workforce look like?

5. Story 1: Lightest PE Possible
Details
• Use MT but the content needs to be curated by a human to remove
the most prominent MT errors
• Delivering online content is the client‘s business
• Service, travel and hospitality domain - broad
• User-generated content, huge volumes
 Translation objective: post-edit raw MT enough to remove the most
obvious MT errors and increase fluency
Key Challenges
 Defining post-editing requirements
 Achieving the highest productivity possible by avoiding over-editing
 Making the content appear “human“ at minimal cost

6. Story 2: Real-time Content
Delivery
Details
• Cheap realtime translation
• > 30 languages, including rare language pairs
• Technical domain
• Professionally authored content
 Translation objective: gisting quality MT; identify main areas of traffic for future
investment; obtain in-domain data to fine tune systems
Key Challenges
 Range of languages and sparsity of training data for many of the languages
 Post-editing for MT engine fine-tuning – training data volume requirements
 Measuring the content impact and success
 Engaging community?

7. Story 3: PE for Machine
Consumption
Details
• Gisting quality raw MT + post-editing of MT for SMT corpus building
• All main language groups
• Extremely wide range of consumer goods
• User-generated; cryptic / abbreviated; elements of SEO
 Translation objective: post-editing to build good quality in-domain corpus
for improving SMT corpus > improve raw MT output
Key Challenges
 Identifying the right translation resources – professional or just internet-
savvy
 Define post-editing requirements – style guide or common sense, or both?
 Achieving the desired productivity gains

8. Story 4: Raw or Light PE for
Sales Enablement?
Details
• Gist translation of bid-related documentation
• Into-English translation direction
• Big volume legal/business documentation
• Well-authored but contains complex “legalese“ clauses
 Translation objective: provide gist translation of critical legal documentation to win a
bid
Key Challenges
 Selecting the best translation process / resources

9. Story 5: Actionable MT
Output
Details
• Real-time communication support
• English  Germanic and Romance translation directions
• Content authored by field users and support personnel
 Translation objective: provide cross-language real time support to
European distributors
Key Challenges
 Achieving the balance between Adequacy and Fluency when
introducing training data
 Delivering usable and actionable instructions
 Overcoming SMT shortcomings when handling negative/positive
statements
 Educating „the casual evaluator“ and getting their acceptance

10. Findings
TRANSLATION WORKFLOW
Technical setup often very simple, but tailored to the request
Initial request may be for raw MT, PE requirement becomes necessary later
TRANSLATION SUPPLY CHAIN
Need for flat hierarchies, direct interaction, not suitable for all structures /
professional translation providers
Selection through motivation for unconventional translation methods
Shift focus to content and purpose, away from ‘consistency with legacy
translations, style guides & unvalidated glossaries‘ type setups
QUALITY EVALUATION
Less needed to PASS / FAIL a final translation, but crucial for aligning
expectations, defining MT engine retraining needs, establishing PE
requirements

11. Breakout Session
Workflows / technology
Aligning expectations: methods, timing
(room for learning curve?)
Translation resources: motivation,
payment, recruitment
…

12. Thank You!