Machine Translation (MT) is a productivity tool in the production workflow with the potential to significantly boost a company’s economic performance. In today’s world, one of the greatest challenges an organisation faces is how to increase profits when revenue streams become saturated. This presentation covers the economic arguments in favour of including Machine Translation into existing content production workflows. For more information about KantanMT.com, or to sign up to the platform, contact us (sales@kantanmt.com).

1. In association with

2. The economics
of Machine Translation
#KantanWebinar

3. What we aim to cover today?
 About KantanMT.com
 Who are we and what we stand for?
 The economic argument for Machine
Translation
 Vendor Viewpoint
 Consultant Viewpoint
 Q&A
Post Questions to twitter: #KantanWebinar
50 minutes

4. What is KantanMT.com?
 Statistical MT System
 Cloud-based
 Highly scalable
 Inexpensive to operate
 Fusion of TM & MT & rules
 High speed, high quality
translations
 Our Vision
 To put Machine Translation
 Customisation
 Improvement
 Deployment
 into your hands
Active KantanMT Engines
7,526
Training Words Uploaded
109,290,105,065
Member Words Translated
1,017,823,812
Fully Operational 18 months
Post Questions to twitter: #KantanWebinar

5. The KantanMT Community
Post Questions to twitter: #KantanWebinar

6. #1 : Market Dynamics

7. #1 : Market Dynamics
 73% of consumers more
likely to purchase a product
in their own language
(Source: EU Study of 2,430 web consumers in 8 EU Countries)
Post Questions to twitter: #KantanWebinar

8. #1 : Market Dynamics
 9 out of 10 internet users will
visit websites in their own
language when given a choice
(Source: EU Study of 2,430 web consumers in 8 EU Countries)
Post Questions to twitter: #KantanWebinar

9. #1 : Market Dynamics
 42% of consumers never
buy a product/service in
other languages
(Source: EU Study of 2,430 web consumers in 8 EU Countries)
Post Questions to twitter: #KantanWebinar

10. #1 : Market Dynamics
 Size of Market
 2013 - $260 Billion
 2017 - $450 Billion
(Source: PracticalEcommerce)
Post Questions to twitter: #KantanWebinar

11. #1 : Market Dynamics
 Size of Market
 2013 - $260 Billion
 2017 - $450 Billion
(Source: PracticalEcommerce)
 Industry without borders
 International Sales
 2017 - $200+ Billion
(Source: PracticalEcommerce)
Post Questions to twitter: #KantanWebinar

12. #2 : Sheer Volume of Content

13. #2 : Sheer Volume

14. #2 : Sheer Volume

15. #2 : Sheer Volume

16. #2 : Sheer Volume

17. #3 : Rapid ROI

18. #3 Rapid ROI

19. Case Study : eCommerce

20. Solutions for MarketPlace Vendors
Post Questions to twitter: #KantanWebinar

21. Solutions for MarketPlace Vendors
 Objectives
 Launch website in Swedish in 19 days
 Translate Beauty Product catalogue
 Translate 780K from Danish to Swedish
 Integrate MT into existing L10N workflow
 Challenges
 Sparse Training Data
 No Time to Test System Deployment
 Pilot was Live Project!
Post Questions to twitter: #KantanWebinar

22. Solutions for MarketPlace Vendors
 Results
 780K words localized in 17 days
 Project Cost Savings : 62%
 Translator Productivity: 8K words per day
 Highly Scalable: +2 languages in 3 weeks
 Lower PE rates after KantanMT
retraining
Case Study available for download.
Post Questions to twitter: #KantanWebinar

23. In association with

24. Alan Houser
Principal Consultant and Trainer
Tel: 412-450-0532
arh@groupwellesley.com
www.groupwellesley.com
The Economics of Machine
Translation in Technical
Communication
Group Wellesley, Inc.

25. About Group Wellesley, Inc.
We help organizations
improve their processes
for creating, managing,
and delivering technical
content.

26. About Group Wellesley, Inc.
President Alan Houser
• Consultant and Trainer in Publishing Tools and
Technologies
• Former International President, Society for Technical
Communication
• Chair, STC Nominating Committee
• Member, Intercom Advisory Board
• Board of Permanent Reviewers of the IEEE
Transactions on Professional Communication
• Former member OASIS DITA Technical Committee
• Fellow, Society for Technical Communication
• @arh on Twitter

28. http://intercom.stc.org/2015/04/are-you-ready-for-
machine-translation/

29. Just as Translation
Memory is expected
today, Machine
Translation will be
expected in the very
near future.

30. http://makezine.com/projects/make-42/universal-translator/

31. Technical
Communication is
uniquely positioned
to benefit from the
revolution in
Machine Translation
technology.

32. Technical Communication
Characteristics
• Clear
• Concise
• Controlled vocabulary
• Defined terminology and style
• Chunked
• Brief
• Direct
All contribute to successful machine translation!

33. Technical Communication:
Trajectory of Process Improvement
• Single-source publishing
• Plain language, controlled language
• Modular content
• Information typing
• Separation of content and format
• Content reuse
• XML/DITA
Machine Translation is a logical next step for
process improvement in technical
communication.

34. http://nyti.ms/1FVzfBp

35. All-human
localization
workflows are
doomed to fail.

36. Technical Communication:
Economics of Machine Translation
Consider: 100,000-word documentation set.
• Human translator:
2,500 words/day; 40 days
• Machine translation with human post-editing:
8,000 words/day; 12.5 days
A 60% improvement in translation efficiency!

37. What about Quality?
• Machine translation versus all-human
workflow?
• Apples to apples comparison
• Range of options, from pure machine
translation to machine translation with post-
editing provides range of options for speed,
quality, and price.

38. If you don’t use
Machine Translation,
your customers will*.
*Your competitors will as well.

40. Machine Translation
Outcome:
• Translate more content.
• Faster.
• Cheaper.
Are you on-board?

41. Contact Us!
We hope you enjoyed this presentation. Please feel free to
contact me:
Alan Houser
arh@groupwellesley.com
arh on Twitter
Group Wellesley, Inc.
933 Wellesley Road
Pittsburgh, PA 15206
USA
+1-412-450-0532
www.groupwellesley.com

42. Questions?
Post questions to twitter: #KantanWebinar, or use the chat feature in go-to-webinar.