1. Industry-Scale
Crowdsourcing of
Data & Terminology
Rahzeb Choudhury, TAUS

2. TAUS Mission Knowledge
Sharing Data &
Our an industry-level in an
mission is to increase
…on
the size and significance
open and transparent
of the translation all to a
landscape brings us
industry to help the
higher level of competence.
world communicate
better.

3. Where We Stand
Together
We Know
Better We Know
More

4. Four Focus Areas
Technology
Data
Translation as
a Utility
Metrics
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Interoperability

7. Members

8. Global Members

9. Academic, NGO & Government Members

10. Large Corporate Members

11. Small Corporate Members

12. Agency Members

13. Terminology

14. Importance of Terminology Work
14.8%
1.8%
43.5%
Very important
Quite important
Less important
Not important
39.9%
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

15. Information Sources
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

16. Information Sources
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

17. Information Sources
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

18. Information Sources
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

19. Information Sources
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

20. Main Problems
9.4%
Lack of
resources/Insufficient
terminology
management
Poor quality/Up-todateness
20.6%
Lack of information
12.2%
36.0%
11.5%
10.3%
Lack of convincing
verification/Misleading
information online
Rest
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

21. Too many sources.
Takes too much time.
Effort is duplicated.
Results questionable.

22. …Centralization…

24. Owned
Shared
Web

25. Machine Translation

26. Data and Quality
MT
Quality
In-domain Data
Algorithms
More data
Amount of Data

27. Owned
Shared
Web

28. Lack of access.
Copyright.
Takes too much time.
Effort is duplicated.
Quality questionable.

29. …Centralization…

30. Central Source of In-domain Data
Owned
Shared
Web – to come in 2014

32. Terminology and
Machine Translation

33. Data and Quality
Usage/Feedback Data
..Terminology!
MT
Quality
In-domain Data
Algorithms
More data
Amount of Data

34. …Centralization…

35. TAUS Mission Knowledge
Sharing Data &
Our an industry-level in an
mission is to increase
…on
the size and significance
open and transparent
of the translation all to a
landscape brings us
industry to help the
higher level of competence.
world communicate
better.

36. Central Sources of Data and Terminology
For language workers, CAT Tools & MT Systems
 Own Data – Private Vault
 Shared Data – In domain data
 Web Data – Data Collector
 Own Terms – Build Own Collections
 Shared Term – In-domain terms
 Web Terms – Term Collector
But what about the crowd?

37. Main Problems
9.4%
Lack of
resources/Insufficient
terminology
management
Poor quality/Up-todateness
20.6%
Lack of information
12.2%
36.0%
11.5%
10.3%
Lack of convincing
verification/Misleading
information online
Rest
Source: TaaS User Needs Survey, 2012. 1735 responses (approx 40% technical
writers, 30% translators, plus others)

38. Central Sourcing of Data and Terminology
But what about the crowd?
The crowd must source!
The crowd must verify!
Web Data – Data Collector
Web Terms – Term Collector

39. Too many sources.
Takes time. to
We maintain the
Unless the crowd helps
source is duplicated.
and verify…….
Effort
status quo..
Results questionable.

40. Register and engage:
demo.taas-project.eu

41. Thank you.
Contact: rahzeb@taus.net
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