How to Achieve Agile Localization for High-Volume Content with Machine Translation

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This slide deck on achieving agile localization for high-volume content with the help of Machine Translation was presented by Tony O’Dowd, Founder and Chief Architect at KantanMT during the annual tcworld conference 2015, which was held in Stuttgart, Germany. It outlines the best practices for developing and implementing a dynamic and agile localization strategy that integrates Custom Machine Translation (CMT) into the localization workflow, with the final aim of developing a scalable localization strategy that makes it possible to create and publish high-volume multilingual content.

What we aim to cover today?
 About KantanMT.com
 Who are we and what we stand for?
 Agile Localisation
 Characteristics of our industry
 3 Case Studies, 3 Industries
 eCommerce
 Automotive,
 Software Industry
 Conclusions
 Q&A
45 Minutes

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
7,959
Training Words Uploaded
147,171,660,160
Member Words Translated
4,991,458,712
www.kantanMT.com

We live in an age of
constant content creation –
anytime, anywhere, any
device
“
”

My Clients want
more, for less,
FASTER!
“
”

There are only two
certainties –
margin erosion &
price compression
“
”

We are entering the biggest
revolution in the localisation
industry –
thanks to machine
translation
“
”

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

Case Study #1
@KantanMT info@kantanmt.com

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!

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.

Case Study #2
@KantanMT info@kantanmt.com

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

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.

Case Study #3
@KantanMT info@kantanmt.com

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 Retrainings
Case Study available for download.

Conclusions.
Localisation workflows
predicated on human endeavour
alone are doomed

Conclusions.
Localisation workflows
predicated on human endeavour
alone are doomed
Introducing automated
translation delivers productivity
benefits

Your opinion is important to us! Please tell us what you thought of the
lecture. We look forward to your feedback via smartphone or tablet under
http://LT03.honestly.de
or scan the QR code
The feedback tool will be available even after the conference!

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).

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How to Achieve Agile Localization for High-Volume Content with Machine Translation

1. @KantanMT info@kantanmt.com

2. What we aim to cover today?  About KantanMT.com  Who are we and what we stand for?  Agile Localisation  Characteristics of our industry  3 Case Studies, 3 Industries  eCommerce  Automotive,  Software Industry  Conclusions  Q&A 45 Minutes

3. 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 7,959 Training Words Uploaded 147,171,660,160 Member Words Translated 4,991,458,712 www.kantanMT.com

4. The KantanMT Community.

5. We live in an age of constant content creation – anytime, anywhere, any device “ ”

6. My Clients want more, for less, FASTER! “ ”

7. There are only two certainties – margin erosion & price compression “ ”

8. We are entering the biggest revolution in the localisation industry – thanks to machine translation “ ”

10. 3 Case Studies – 3 Industries. Catalogue Translation eCommerce Technical Documents Automotive Industry Product UA materials Software Industry

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

12. eCommerce Player.

13. 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!

14. 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.

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

16. Automotive Industry

17. 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

18. 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.

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

20. Software Industry.

21. 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

22. 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.

23. 3 Case Studies – 3 Industries Catalogue Translation eCommerce Technical Documents Automotive Industry Product UA materials Software Industry

24. 3 Case Studies – 3 Industries.

25. @KantanMT info@kantanmt.com

26. Conclusions. Localisation workflows predicated on human endeavour alone are doomed

27. Conclusions. Localisation workflows predicated on human endeavour alone are doomed Introducing automated translation delivers productivity benefits

28. Conclusions. Localisation workflows predicated on human endeavour alone are doomed Introducing automated translation delivers productivity benefits Those that ignore this change will perish!

29. @KantanMT info@kantanmt.com

30. Your opinion is important to us! Please tell us what you thought of the lecture. We look forward to your feedback via smartphone or tablet under http://LT03.honestly.de or scan the QR code The feedback tool will be available even after the conference!

31. @KantanMT info@kantanmt.com

Editor's Notes

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
We are the fastest growing MT provider, even though we are one of the young-guns!

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Editor's Notes