SDL Proprietary and Confidential

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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