Presenter: Lena Marg and Christian Zeh (Welocalize) This presentation is a part of TaaS project funded from the European Union Seventh Framework Programme (FP7/2007-2013), grant agreement no 296312

1. Teaminology
CHAT @ TCWorld, Wiesbaden, 2013

2. teaminology
A crowdsourcing application for
collaborative term and translation governance
developed @ Welocalize
Key features:
 team approach to terminology: users can vote on preferred translations,
quality is ensured through term champions
 statistics on user engagement and the frequency of their suggestions to
report on community health
 centralized platform for simultaneous term / sentence search in
Translation Memories (TMs) and glossaries
 context information through further granularity provided by metadata
 crowdsourcing for terms and for translating entire projects with a
connection into a TMS (e.g. GlobalSight)

3. teaminology
Background and lessons learned
 First proof of concept 2011 – required enhancements
 Tool needs to be relevant, fun & engaging: focus on user-experience
 Right balance between simplicity (easy-to-use) and controlled
complexity (informed choices)
 Depending on use case, various groups can be engaged:
- end users
- translators
- quality managers
- product experts
- creative consultants
-…
 “It’s ok to make mistakes” – term managers can revisit choices
 Integration

4. teaminology
SNAPSHOT – term governance concept

5. teaminology
SNAPSHOT - terminology

6. teaminology
SNAPSHOT – crowd engagement / reports

7. teaminology
Global terminology management
Use case illustration
- build consistent language assets
- strong brand image across all languages and
markets
- reduce translation errors
- reduces legal liabilities
- shorten time-to-market
- reuse and retrieve terminology
- engage the supply chain
- connect to TMS and CMS
- global terminology governance across all
stakeholders
- reduce cost for terminology management

8. teaminology
Harmonizing existing assets
Use case illustration
Inconsistencies
between existing
client Translation
Memories and
Termbases
Translators flag
issues as they go
along, SuperUser
fixes

9. teaminology
Crowdsourcing & searches
Use case illustration
MLV 1
• French
• German
• Japanese
MLV 2
MLV 3
• French
• Japanese
• Korean
• French
• German
• Korean
Translators across all MLVs and
languages can use 1 platform
for legacy translations, access
metadata (e.g. images),
quickly identify rejected terms
- and crowdsource entire new
sentences
No more search in offline local
TMs
Inspiration from other
languages (e.g. Do-NotTranslatables)

10. teaminology
Leverage the knowledge of your experts for
better terminology

11. Questions?
christian.zeh@welocalize.com
lena.marg@welocalize.com

12. Some technical specs
Server Level 1
• Developed in Java
• The server layer of the application is cross-OS compatible and can run on 64-bit English
Windows Server 2008 R2, 32-bit and 64-bit x86 English Windows Server 2003,
Standard/Enterprise Edition or Ubuntu Linux Server.
• Application server is Jboss 4.2
• Database is MySQL
• JettyServer used for importing/exporting TMs.
• API for GS<>Teaminology to import/export assets that are parts of projects.
Client Layer Technical specs
• Internet Explorer 7 and higher, Firefox 3.5 and higher, and Google Chrome 16.0.912.63 and
higher.
• Java Runtime Environment 1.6 or higher.