KantanMT Founder and Chief Architect, Tony O'Dowd and Technical Project Manager, Louise Faherty show you how to improve the translation productivity of your team, manage post-editing effort and translation project schedules better with powerful Machine Translation engines. You will learn: • How to deal with Translation challenges • About the necessity of Machine Translation to be competitive • How KantanMT.com can be integrated with existing Translation Management Systems

1. @KantanMT info@kantanmt.com

2. @KantanMT info@kantanmt.com

3. How to
Improve
Translation
Productivity
Speakers:
Louise Faherty
Tony O’Dowd

4. What we aim to cover today?
 About KantanMT.com
 Who are we and what we stand for?
 More to Translate
 Scaling Translation Velocity to the
needs of the modern age
 3 Case Studies, 3 Industries
 eCommerce, Automotive,
Documentation
 Conclusions
 Q&A

5. What is KantanMT.com?
 Statistical MT Platform
 Cloud-based
 Highly scalable
 Inexpensive to operate
 Fusion of TM & MT & rules
 High speed, high quality
translations
 Our Vision
 To put Machine Translation
 Customization
 Improvement
 Deployment
 into your hands
Active KantanMT Engines
7,825
Training Words Uploaded
137,291,423,680
Member Words Translated
4,764,891,328
www.kantanMT.com

6. The KantanMT Community

7. Background : More to Translate
 An era of constant content creation
 Anywhere, anytime, any device!
 144 billion emails, 540 million
photos and more than 100 hours of
video online, every day.
 The growth of the internet
 Just one digital marketplace
 $270 million spent on line every
minute
 International Trade and Commerce
 Is now a multilingual conversation!
 The possibilities are now endless..

8. Background : How to scale?
 Endless possibilities
 Creators & consumers of content
 How do you make sure you aren’t left behind?
 Creates additional challenges for our industry
 How to scale our workflows
 To address multilingual consumption requirements

9. 3 Case Studies – 3 Industries
Catalogue
Translation
eCommerce
Technical
Documents
Automotive Industry
Product UA
materials
Software Industry

10. Case Study #1
@KantanMT info@kantanmt.com

11. eCommerce Player

12. eCommerce Player
 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!

13. eCommerce Player
 Results
 780K words localised in 17 days
 Project Cost Savings : 62%
 Translator Productivity: 8K words per day
 Highly Scalable: +2 languages in 3 wks
 Lower PE rates after KantanMT
retraining
Case Study available for download.

14. Case Study #2
@KantanMT info@kantanmt.com

15. Automotive Industry

16. Automotive Industry
 Objectives
 Source Language: German (ouch!)
 Target Languages: European & Eastern
Europe
 Integrate MT into existing L10N workflow
 Fast paced L10N process – 2 week sprints
 Challenges
 Given 6 months for all 8 languages!
 Rapid retraining to incorporate post-editing

17. Automotive Industry
 Results
 All languages available within 6 months
 87% increase in translation velocity
 2,400 to 4,400 words per day per translator
 30% Savings
 Using savings to drive more language
pairs
 Now doing 20 languages
Case Study available for download.

18. Case Study #3
@KantanMT info@kantanmt.com

19. Software Industry

20. 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

21. 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 Retrainings Case Study available for download.

22. 3 Case Studies – 3 Industries
Catalogue
Translation
eCommerce
Technical
Documents
Automotive Industry
Product UA
materials
Software Industry

23. 3 Case Studies – 3 Industries

24. How KantanMT Increases Productivity
@KantanMT info@kantanmt.com

25. KantanMT increases productivity…
…in building your translation engine:
Pre-processing -
Dynamically alter your
training data with PPX
rules.
KantanTimeline –
Keep an interactive
record of every step
in your engine
building process.
Build Analytics –
Reliable engine
translation quality
evaluation. Save time
checking on quality
with human reviewers.

26. KantanMT increases productivity…
KantanNER –
Dynamically alter
measurements and
quantities to localise
them automatically
KantanTotalRecall –
Never loose the
quality and
consistency of your
TM matches.
PEX- Post edit
translations before
you’ve even
downloaded them
with PEX rules.
…on a document level:

27. KantanMT increases productivity…
…in your translation workflow:
API – Use your
KantanMT engine like
a normal TM from
within Trados Studio,
MemoQ, XTM Cloud
or Memsource Cloud
KantanAnalytics –
By running an
analysis job, you can
check the projected
post editing effort
before sending to
translation.
AutoScale –
Deployments in the
cloud mean that no
matter how much you
need to translate,
KantanMT will scale up
to meet your
requirements and
never hold you back

28. Conclusion
Out-dated translation workflows dramatically increase localization costs
Automated translation increases productivity and decreases turnaround times
Companies who can evolve with MT will see their business grow as a result of
productivity gains
KantanMT provides cutting edge solutions to common MT obstacles

29. @KantanMT info@kantanmt.com