Download - Machine Translation Solutions
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Machine Translation Solutions
Nigel Watson, Business Consultant, SDL Global Solutions
September 19, 2013
Big Language Challenges
Customer Use Cases
MT Options
MT Maturity Assessment
Case Studies
Agenda
2
Big Language™ Challenges
3
There are 7 billion people in the world –
2 billion of which are on the Internet.
There are more than 6,000 recorded languages.
Only 20% of Internet users speak and read English as their first language.
2.5 quintillion bytes of data exist today, most on the web – 90% of that was generated
in the last two years alone.
Source: IBM
Source: Economist Intelligence Unit
Source: Common Sense Advisory
Source: Economist Intelligence Unit
How do we approach Translation
5
Use Cases
Machine Translation Options
What is a baseline system?
A generic machine translation engine
developed for use across a broad range
of subject matter. SDL Language
Technologies currently has over 80
“baseline systems” available for use
today.
For example, • from EN to ES OR ES to EN
GOOD
Machine Translation Options
What is Term and Brand Management?
A mechanism for enforcing the proper translation of brand and product terms specific to your company and it's products.
For example, • "Apple", the computer company, is NOT "Pomme" when translated to French • In your company, when translating from Spanish to English, "libro" always translates to "book" NEVER "tome" or "document”
BETTER
Machine Translation Options
What is a trained system?
A baseline machine translation engine that
has been tuned (via training) for specific
subject matter to translate content from one
language to another in real time.
For example, • for a particular company • for a particular use case (chat, kb, email, etc.) • for a particular product(s)
BEST
Understanding Machine Translation
Understanding Machine Translation
MT is not replacing the need for human
translation - but is an effective tool when
understood and used in the right context
MT is automated translation that
uses software to translate text from
one natural language to another
MT Maturity Assessment
12
Process of helping the customer determine if the organization has the ingredients to deliver to their MT expectations
The customer chooses the language and use case for the assessment
SDL assist customer with obtaining relevant multi-lingual data to support assessment
SDL analyzes the customer data SDL provides a roadmap to help customer
achieve use case goals for the desire language
What is MT Maturity Assessment
The Maturity Assessment Process
13
• Determine the investment needed to meet
customer use case quality targets
Receive Customer Data
Analyze Data Produce FAUT
Deployment Report
15 working days
The Maturity Assessment Process
14
The FAUT deployment report will contain:
Languages and use cases suitable for deployment
based on quality like evaluation criteria
Detailed Reports: content-type deep dive, timeline and
milestones for deployment, and investment requirement
to meet minimum quality criteria
Case Study
Fully automated translation for user reviews
14 languages
Thousands of reviews translated each week
2 Billion per month and rising
Increase in site hits, dwell times, page views, foreign
language contributions, SEO
Case Study
Fully automated translation for knowledge base content
10 languages, accessible through RightNow
25,000 Answers, 500 new Answers/month
Transformed costs and timeline to build and improve
customer service
Case Study
LivePerson integration being deployed in multiple
companies, particularly in HiTech
Local agents become global resources
Improve out of hours coverage
Increase call deflection
Thank You!
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