Hosted by Henri Broekmate (Lionbridge). Panelists Nathalie Dougall (Booking.com), Matt Romaine (Gengo), Bernie Hsu (Alibaba). For many firms, global crowdsourcing is an unparalleled way to reduce fixed costs and dramatically enhance operating efficiency and scalability. Enterprise crowdsourcing and big data seem to be a good match, particularly as data-related work can often be broken down into tasks or projects. Managing resources and workflows at the task or unit level is at the heart of the localization industry’s expertise. Many suppliers are finding that they can easily offer adjacent services such as search relevance, sentiment analysis, data tagging, user generated content curation, transcription, and data enrichment, in a crowd model – typically in a private crowd. This panel will discuss whether localization service providers and language technology innovators are offering relevant crowd solutions. Using technology as a lens, we will also discuss whether there is a role for increased crowdsourcing as the adoption of MT drives increased post-editing work. Lastly we will exchange ideas about where the crowdsourcing opportunity sits in the framework of the “gig” economy, and whether it will thrive and grow, or crumble under the push for legislation and labor reform.

1. Nathalie Dougall
Matt Romaine
Bernie Hsu

2. TAUS Annual Conference 2016
The Sentinel, Portland, OR
The Internet is Eating the World, and
the Crowd has the Seat of Honor at the
Banquet.

3. Problem Statement – Focus on Information Crowdsourcing
The Uberization of everything
For many firms, global crowdsourcing is an unparalleled way to reduce fixed costs
and dramatically enhance operating efficiency and scalability. Enterprise
crowdsourcing and big data seem to be a good match, particularly as data-related
work can often be broken down into tasks or projects. Managing resources and
workflows at the task or unit level is at the heart of the localization industry’s
expertise. Many suppliers are finding that they can easily offer adjacent services
such as search relevance, sentiment analysis, data tagging, user generated content
curation, transcription, and data enrichment, in a crowd model – typically in a
private crowd.
This panel will discuss whether localization service providers and language
technology innovators are offering relevant crowd solutions. Using technology as a
lens, we will also discuss whether there is a role for increased crowdsourcing as the
adoption of MT drives increased post-editing work. Lastly we will exchange ideas
about where the crowdsourcing opportunity sits in the framework of the “gig”
economy, and whether it will thrive and grow, or crumble under the push for
legislation and labor reform.

4. Start-up Grind Europe, 6/16/16

5. Nathalie Dougall | 24 October 2016

6. Intro & Setup.
● Translations & Content Agency
○ Translations, Photo and Copy
● In-house language teams + freelance translations workforce (6+ years)
○ scaling out photo (own set of challenges!)
● Crowdsourcing photo and destination UGC

7. Deadline: May 2017
- 1 year preparation
- rolling out new agreements now
Impact on Freelancer:
● minimum weekly time requirements halved
● diversified income source
● regular confirmation
● more freelancers in ‘pool’ therefore more competition for regular work
Impact

8. Business impact:
● increased operational management
● existing freelancers to sign new agreement (also non-NL)
● recruitment, compliance, quality, productivity, payments
● + active regular follow up on workforce
● language teams - quality checking/training
Impact

9. We empower talented individuals with access
to new opportunities and reach across the
language barrier. We've raised $25MM from
international investors, and our “HQ” is on the
Internet. When our users go global — they
#gengoit.
Customers platform
37
languages
20,000+
Qualified Translators
Order translation from $0.05/word
Avg. 89minutes
Platform-oriented
From 1 word to millions per
week
sales@gengo.com | gengo.com
Translators

10. “Crowdsourcing” — why?
Customer
• Fire-and-forget
• Redundancy
• Rapid scaling
Translator
• Active — learning
from peers
• Passive — learning
from tech
• More control

11. Components of a good crowd platform
• bulk user-management
• group demotion; target group messaging
• activity monitoring — at various layers
• scalable infrastructure
• swarms — of work & workers
And readiness to iterate — quickly!

12. PRIVATE & CONFIDENTIAL - FOR INTERNAL USE ONLY
Alibaba Language Service
Allow billions of users to have better language Services
DIGITAL MEDIA & ENTERTAINMENT CORE COMMERCE LOCAL SERVICES
MARKETING SERVICES
DATA MANAGEMENT PLATFORM
CLOUD COMPUTING
LOGISTICS
PAYMENT &
FINANCIAL SERVICEData Collection
Data Application
Human Translation
Machine Translation

13. PRIVATE & CONFIDENTIAL - FOR INTERNAL USE ONLY
ALS Crowdsourcing
QUALITY SPEED
COST
Buyers and suppliers have different considerations on quality, cost and speed

14. PRIVATE & CONFIDENTIAL - FOR INTERNAL USE ONLY
ALS Crowdsourcing in core commerce
ALS
Human Translation
Or
Machine Translation
Post Editing
Marketplace
Alibaba/Aliexpress
Tmall Global
Release
Products
Suppliers
Buyers
Buyers
Buyers
One part of
Crowd-sourcing

15. PRIVATE & CONFIDENTIAL - FOR INTERNAL USE ONLY
ALS Crowdsourcing in local services
ALS
Human Translation
Or
Machine Translation
Travellers
Services Providers
Communication
Or
Shopping
Travellers Travellers
SPEED
Crowd-sourcing

16. PRIVATE & CONFIDENTIAL - FOR INTERNAL USE ONLY
ALS Crowdsourcing Overview
1、Higher requirements on speed;
2、Increase volume of post-editing work;
3、 Higher demand for crowdsourcing with more freelancers’ participation