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Content Strategy and Machine Translation
The Winning Combination
Webinar Content
The Prize
 What can be achieved with MT
MT & The Content Strategy
 How content strategy can be
adapted for MT
Q&A
40 minutes
The Prize
What is KantanMT?
Statistical Custom MT Platform
 Cloud-based
 Extremely customisable
 Highly scalable for high
volume
 Fully-automated translations
 High speed, high quality
translations
Active KantanMT Engines
9,392
Training Words Uploaded
434,189,753,677
Member Words Translated
7,161,269,925
KantanMT
Software Industry.
Software Industry.
 Objectives
 Build MT engines for on-line help
 Pilot for English => German
 Scale to multiple target languages
 Focus on Translator productivity
 Challenges
 Complexity of online help content
 Very tight production schedules
 Pilot & Other Languages < 4 months
Software Industry.
 Results
 Highly Scalable: +4 languages in 6
months
 High Quality Translation output
 Translator Productivity Increase: 30-50%
 Reduced Project Costs: 27-40% savings
 Lower Post-Edit Rates after KantanMT
Engine Retraining
Case Study available for download.
Technical Manuals
Technical Manuals
 Objectives
 Languages: English->Dutch
 POC to validate rapid ROI
 Focus on translation productivity
 Solution must scale to 50 manuals pa.
 Integrate to existing L10N workflow
 Challenges
 Client had already built in-house MT
 Output of in-house system very poor
Technical Manuals
 Results
 Seamless integration into existing L10N workflow
 Translation productivity: + 25%
 Reduced Post-Editing effort using PEX
 Reduced project turnaround time
 Significantly higher quality translations achieved
 Process will scale to meet future requirements
Case Study available for download.
MT & Content Strategy
Strategic Decisions
 High Level Business Needs - Create a
‘Global Model’
 Structural Elements
 What content?
 Where is it needed?
 What are the differences?
 Governance Elements
 How will it be managed?
Strategic Decisions – where?
= 3 billion people
What Languages?
 Government of India – Hindi in the
Devanagari script plus English
Indian constitution lists 22 recognised
languages
 2001 Census – 122 major languages
and 1,599 other languages
 Also recorded 30 languages spoken
by more than 1m people
Education Levels?
Adult Literacy Rate, 15+ both sexes. Source: Worldbank
World Average
Philippines
India
China
Indonesia
Nigeria
In Thailand for instance?
 Official government survey :
Average amount of reading by
respondents – 7 sentences per year.
 Website experience -
 No use of ‘more info’ button
 No product descriptions
 Use of imagery and video
 Think about how best to present the
information
Structural Model and MT
What Content
What Locales and
Languages?
What Content
Types?
Sharing,
Differences,
Transcreation?
MT?
It’s the needs of the business that influence these decisions.
Make the decisions and then review the process for MT fit.
Governance Model and MT
Centralised Federated Hybrid
• One MT system makes sense to generate economies of learning
across management and users. (Unless that provider cannot service
the locale/domain.)
• Cloud based solutions can be accessed from anywhere!
• Leverage local language/domain expertise if required
Getting Tactical about Content for MT
 Shorter sentences
 Remove needless words
 Be consistent
 Use glossaries
 Avoid idioms and jargon
 Use correct grammar
 Controlled Language
 Identify Named Entities
 Stick to Unicode Standard -
UTF8
Get serious about TMs
 MT depends on Training data
Cleanse your TMs
 Training data can help to:
 Improve precision – bi-lingual
 Improve fluency – mono-lingual
 Maintain consistency – glossaries
 Library data and pre-built engines*
can help to supplement data.
(*KantanLibrary™ & KantanFleet™)
How is Quality Determined
 Automated scores
 Build Analytics
 Linguistic Quality Review
But ultimately:
 The customer decides!!
 Build in your own kpis
Thank You.

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Go global with this Winning Combination – Content strategy and Machine Translation

  • 1. Content Strategy and Machine Translation The Winning Combination
  • 2. Webinar Content The Prize  What can be achieved with MT MT & The Content Strategy  How content strategy can be adapted for MT Q&A 40 minutes
  • 4. What is KantanMT? Statistical Custom MT Platform  Cloud-based  Extremely customisable  Highly scalable for high volume  Fully-automated translations  High speed, high quality translations Active KantanMT Engines 9,392 Training Words Uploaded 434,189,753,677 Member Words Translated 7,161,269,925 KantanMT
  • 6. Software Industry.  Objectives  Build MT engines for on-line help  Pilot for English => German  Scale to multiple target languages  Focus on Translator productivity  Challenges  Complexity of online help content  Very tight production schedules  Pilot & Other Languages < 4 months
  • 7. Software Industry.  Results  Highly Scalable: +4 languages in 6 months  High Quality Translation output  Translator Productivity Increase: 30-50%  Reduced Project Costs: 27-40% savings  Lower Post-Edit Rates after KantanMT Engine Retraining Case Study available for download.
  • 9. Technical Manuals  Objectives  Languages: English->Dutch  POC to validate rapid ROI  Focus on translation productivity  Solution must scale to 50 manuals pa.  Integrate to existing L10N workflow  Challenges  Client had already built in-house MT  Output of in-house system very poor
  • 10. Technical Manuals  Results  Seamless integration into existing L10N workflow  Translation productivity: + 25%  Reduced Post-Editing effort using PEX  Reduced project turnaround time  Significantly higher quality translations achieved  Process will scale to meet future requirements Case Study available for download.
  • 11. MT & Content Strategy
  • 12. Strategic Decisions  High Level Business Needs - Create a ‘Global Model’  Structural Elements  What content?  Where is it needed?  What are the differences?  Governance Elements  How will it be managed?
  • 13. Strategic Decisions – where? = 3 billion people
  • 14. What Languages?  Government of India – Hindi in the Devanagari script plus English Indian constitution lists 22 recognised languages  2001 Census – 122 major languages and 1,599 other languages  Also recorded 30 languages spoken by more than 1m people
  • 15. Education Levels? Adult Literacy Rate, 15+ both sexes. Source: Worldbank World Average Philippines India China Indonesia Nigeria
  • 16. In Thailand for instance?  Official government survey : Average amount of reading by respondents – 7 sentences per year.  Website experience -  No use of ‘more info’ button  No product descriptions  Use of imagery and video  Think about how best to present the information
  • 17. Structural Model and MT What Content What Locales and Languages? What Content Types? Sharing, Differences, Transcreation? MT? It’s the needs of the business that influence these decisions. Make the decisions and then review the process for MT fit.
  • 18. Governance Model and MT Centralised Federated Hybrid • One MT system makes sense to generate economies of learning across management and users. (Unless that provider cannot service the locale/domain.) • Cloud based solutions can be accessed from anywhere! • Leverage local language/domain expertise if required
  • 19. Getting Tactical about Content for MT  Shorter sentences  Remove needless words  Be consistent  Use glossaries  Avoid idioms and jargon  Use correct grammar  Controlled Language  Identify Named Entities  Stick to Unicode Standard - UTF8
  • 20. Get serious about TMs  MT depends on Training data Cleanse your TMs  Training data can help to:  Improve precision – bi-lingual  Improve fluency – mono-lingual  Maintain consistency – glossaries  Library data and pre-built engines* can help to supplement data. (*KantanLibrary™ & KantanFleet™)
  • 21. How is Quality Determined  Automated scores  Build Analytics  Linguistic Quality Review But ultimately:  The customer decides!!  Build in your own kpis

Editor's Notes

  1. No more expensive deployments Monthly subscription plan Customised subscription plan No more complexity KantanMT does all the heavy lifting You focus on what you do best – grow and develop your business
  2. No more expensive deployments Monthly subscription plan Customised subscription plan No more complexity KantanMT does all the heavy lifting You focus on what you do best – grow and develop your business
  3. You all have probably heard these first two much quoted stats but it’s worth revisiting them. This has been supported by a more recent study into cross border internet selling by the Uni of Amsterdam. The point of course is that language is as much a challenge to communication in the connected world as it was in the offline world So what about the fast growing, faster developing markets?
  4. The chart show the real growth in median income on the vertical axis and the projected median income on the horizontal axis. So for these countries the median income is expected to grow at a rate of between 45% and 90% over the next 15 years. What’s even more interesting is that these 5 markets account for a combined population of over 3 billion So where does that leave us with regards the language challenge?
  5. The government of India cites Hindi and English as the official government languages and of course English is taught in secondary school But there are 22 what they call scheduled languages in the Indian constitution 122 major languages and over one and a half thousand other languages Now the challenge here is what is the ‘preferred’ language of your target audience and do we need to use that to communicate most effectively?
  6. Also, if we do need to communicate in English or their preferred language is literacy an issue? The chart from the Worldbank show the official level of literacy reported for each country Taking these at face value they seem pretty good with three of the countries above the world average. However….