The document discusses maximizing return on investment for machine translation projects. It introduces KantanMT, a cloud-based statistical machine translation system, and associated tools like KantanAnalytics and Kantan BuildAnalytics that help project managers and SMT developers optimize machine translation quality and costs. Case studies are presented showing how KantanMT and post-editing delivered significant cost savings, increased translator productivity, and enabled fast localization turnarounds for clients in software documentation, automotive parts data, and e-commerce product descriptions.

1. No Hardware. No Software. No Hassle MT.
Maximising ROI for Machine Translation
#KantanWebina
r
in association with
Tony O’Dowd, tonyod@kantanmt.com
Deepan Patel, deepan.patel@milengo.com

2. KantanMT.Com
NO HARDWARE. NO SOFTWARE. NO HASSLE MT
Tony O’Dowd
Founder & Chief Architect
New Breakthroughs in Machine
Translation Technology

3. What we aim to cover today?
What is KantanMT.com?
Factors that influence ROI
 Making the right Project Management decisions
 Going beyond the baseline of MT quality
Conclusions
15 minutes

4. What is KantanMT.com?
Statistical MT System
 Cloud-based =
 Highly scalable
 Inexpensive to operate
 Quick to deploy
Our Vision
 To put Machine Translation:
 Customization
 Improvement
 Deployment
 …into your hands
Active KantanMT Engines
6,915
Training Words Uploaded
83,243,234,615
Member Words Translated
669,526,741
Fully Operational 15 months

5. Initial Steps of any project are:
 Determine Scope
 How long will it take?
 How much will it cost?
 What is my margin?
 Determine resources
 How many Translators will I need?
Introducing KantanAnalytics™
 …think Fuzzy-Match report and you’ve got it in one!
Challenge #1
How can Project Managers
‘manage’ Post-Editing Projects?

6. KantanAnalytics™
Kantan TotalRecall – Advanced TM
% of TM hits in this job
KantanMT – automated translations
% of automated translations for this job
Range of QE Scores
QE range defined to match existing fuzzy match ranges used by
L10N industry
Quality Estimation Scores
Segment level QE scores – akin to fuzzy match scores
Word Counts – Project Stats
Can be used to develop Project TimeLine and Tiered Pricing
Model for Post-Editing Projects
Placeholder & Tag Counts
Used by PM for complexity sur-charges
KantanAnalytics embeds QE
scores into
 TRADOS Studio
 MemoQ
 XLIFF

7. KantanAnalytics™
Helping PMs make the right business
decisions!

8. Challenge #2: Going beyond the baseline and developing production
ready MT!
Easy to build 1st baseline engine
 Aggregate Training Data – TM, Mono, Stock, Terminology
 Use Cloud-based platform, like KantanMT.com
Real Challenge:
 How do these platforms go beyond the baseline engine and achieve
higher levels of production quality
Introducing Kantan BuildAnalytics
 Data analytics and visualisation providing insights into the
customisation of SMT engines.

9. Kantan BuildAnalytics™
Rapidly develop production ready engines
 Summary Report
 Training Rejects Reports
 F-Measure Analysis
 BLEU Analysis
 TER Analysis
 GAP Analysis
 Timeline Report
 Deep Tuning

10. Kantan BuildAnalytics™
F-Measure Score
Measures word recall & precision of KantanMT engines
Distributions
Provides distribution of F-Measure scores across all reference
translations
Kantan Insight™
Holistic analysis of score and advice on how to improve this for
KantanMT engines
Detailed Analysis
Segment level F-Measure analysis to help SMT Developers
improve training material

11. Kantan BuildAnalytics™
Detailed Reports for: F-Measure, BLEU and TER

12. Kantan BuildAnalytics™
Gap Analysis – quickest way of improving fluency

13. Kantan BuildAnalytics™
Training Rejects Report – Improve training data rapidly

14. Kantan BuildAnalytics™
Timeline – Tracks history of KantanMT engines

15. Conclusions
KantanAnalytics
Helping PMs make the
right business decisions
Project Managers
KantanAnalytics
Helping to prioritize
translation effort
Translators
Kantan BuildAnalytics
Providing Insights into
engine customization
SMT Developers
Maximising ROI for Machine Translation

16. No Hardware. No Software. No Hassle MT.
Maximising ROI for Machine Translation
#KantanWebina
r
in association with
Tony O’Dowd, tonyod@kantanmt.com
Deepan Patel, deepan.patel@milengo.com

17. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO LTD – COMPANY OVERVIEW
Localization agency – presence in EMEA, APAC, Americas
Wide spectrum of localization services into 70+ languages
Customized machine translation & post-editing (MT-PE) since 2009
Statistical MT rather than rules-based – scalability!
MT-related services
Free MT & post-editing feasibility study
Customized MT-PE solutions
Post-editing of MT output
More info at: www.milengo.com

18. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO & KANTANMT
BuildAnalytics
Data
Rejects
Gap Analysis
PEX
Editor

19. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 1
MT-PE FOR SOFTWARE DOCUMENTATION
Requirements
• Large volume online help content
• Practical experience with MT
• Reduce localization costs
• Meet tight release schedules
• High quality translations
• Efficient scalability

20. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 1
MT-PE FOR SOFTWARE DOCUMENTATION
Milengo MT Solution Features
MT-PE Pilot Project: English – German
Assemble & clean training corpus
Relevant test & tuning sets
Evaluate quality, post-editing tests
Pricing: 27% savings
Deploy workflow
Scale up: FR, ES, IT, PT-BR
“From the client point of view, the process to make MT ready was very smooth. Milengo has done the most part.”
Kazuo Suzuki – Director, Globalization, Interactive Intelligence

21. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 1
MT-PE FOR SOFTWARE DOCUMENTATION
“We are pretty happy about those numbers and we expect more savings in the future.”
Kazuo Suzuki – Director, Globalization - Interactive Intelligence
Benefits of MT-PE
• Efficient scalability: +4 langs, 6 months
• High quality translations
• Translator productivity increase: 30–50%
• Reduced project costs: 27–40%
• Lower post-editing rates after re-trainings
• Minimal client investment

22. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 2
MT-PE FOR AUTOMOTIVE PARTS DATA
Client: Software Provider for Automotive Industry
Requirements
• Car parts data: ~ 300K words
• End client requests for localized data
• Cost-efficient & high quality localization
• Potential scalability
• Languages: French, German, Spanish

23. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 2
MT-PE FOR AUTOMOTIVE PARTS DATA
Milengo MT Solution Features
MT-PE Pilot project: English – French
Extensive glossary building
Normalize training data
PEX editor: automated post-editing rules
Pricing: 28% savings
Deploy workflow
Scale up: DE, ES

24. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 2
MT-PE FOR AUTOMOTIVE PARTS DATA
Benefits of MT-PE
• High quality translations
• Efficient scalability: +2 langs, 3 weeks
• Translator productivity increase: 30–60%
• Reduced project costs: 28–43% savings
• 300K words, 3 langs in 4 weeks
• Lower post-editing rates after re-trainings

25. Translations for a working world
sales@milengo.com
www.milengo.com
Requirements
• 19 days for new Swedish web shop launch
• 780K words from Danish to Swedish
• Cost-efficient & high quality translations
• Highly automated project workflow
• Efficient scalability
MILENGO ROI CASE STUDY 3
MT-PE FOR E-COMMERCE: PRODUCT DESCRIPTIONS

26. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 3
MT-PE FOR E-COMMERCE: PRODUCT DESCRIPTIONS
Milengo MT Solution Features
Training data: align bilingual content
Engine re-training in project cycle:
• After 10K post-edited sentences
• Increased post-editing productivity
o From 5.5K to 8K words per linguist/8hr day
API: CMS > Translation Tools > MT engine
“Milengo came up with a time and cost estimate that would allow us to launch on time and within budget, and they
delivered on all of their promises! We had all of our content localized before the launch date and within budget.”
Daniel Srebro – Chief Analyst – Business Development, Netthandelen Holding AS

27. Translations for a working world
sales@milengo.com
www.milengo.com
MILENGO ROI CASE STUDY 3
MT-PE FOR E-COMMERCE: PRODUCT DESCRIPTIONS
Benefits of MT-PE
• 780K words localized in 17 days
• Reduced Project Costs: 62% savings
• Translator productivity increase: 8K words/day
• Highly scalable model: +2 langs, 3 weeks
• High project workflow automation
• Lower PE rates after re-trainings
“Obviously we were very happy with the process and the results and we’ve kept working with Milengo since, constantly adding
products to the catalogue in several different countries and languages.”
Daniel Srebro – Chief Analyst – Business Development, Netthandelen Holding AS

28. Q&A
WWW.KANTANMT.COM
Tony O’Dowd, tonyod@kantanmt.com
Deepan Patel, deepan.patel@milengo.com