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It’s getting crowded! A critical view of what crowdsourcing can do for terminology as a discipline

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It’s getting crowded! A critical view of what crowdsourcing can do for terminology as a discipline
Barbara Inge Karsch - BIK Terminology
VII EAFT Terminology Summit. Barcelona, 27-28 november 2014

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It’s getting crowded! A critical view of what crowdsourcing can do for terminology as a discipline

  1. 1. It’s getting crowded! A critical view of what crowdsourcing can do for terminology as a discipline. EAFT Barcelona 2014 Barbara Inge Karsch
  2. 2. Scenario • IT industry • Strong focus on tools/functionality • Documentation in a TMS • Controlled language • Translation processes • Prescriptive approach • Vs. terminology work to drive, e.g. SEO
  3. 3. Terminology work • What can the crowd do? • Help with coining new terms or names • Vote on term/name suggestions • Comment on terminological entries • E.g. making definitions more precise • …
  4. 4. WHAT’S OLD, WHAT’S NEW, WHAT’S OUR NEED
  5. 5. Terminologists and the crowd • No change • Terminology work has never been a solitary endeavor. • Change • The type of people we work with has changed.
  6. 6. Expert • A subject matter expert: • Has a documented history of working in the area for which they are an expert; • Has done the work; • Exhibits the highest level of expertise in performing a specialized job, task, or skill within the organization; • Has in-depth knowledge of the subject. • Has bona fide expert knowledge about what it takes to do a particular job. • Understands a business process or area well enough to answer questions from people in other groups.
  7. 7. Experts et al • Who are the folks that we need to involve in the terminology work for a software program? • Yes, subject matter experts • Product managers • Users • …
  8. 8. Terminologists and the speed of change “We used to manage about two concepts a day because we had to go on field trips to see our SMEs.” (Hendrik Kockaert, former EU Terminologist)
  9. 9. Needs • We need input. • We need it fast. • We need it from different audiences (experts <-> users).
  10. 10. EXAMPLES
  11. 11. Harvesting subject matter expertise • System: J.D. Edwards terminology management system • When: Created in 1998 • Medium: TMS had integrated commenting and workflow functionality • Outcome: Feedback from experts in subsidiaries and others
  12. 12. Coining new names • Product: Microsoft Windows Vista (2006) • What: German names for new games • Medium: SharePoint site • Participants: German native speakers, MVPs who had special technical knowledge, but also knew the audience • Outcome: 85% of the final names originated from participant ideas
  13. 13. Finding target language equivalents • Product: Windows 8 • What: Names/terms • Medium: Microsoft Terminology Forum • Participants: Open to anyone • Problem: • Terminological data not prepared well • Outcome: [Some] crowd input wasn’t useful.
  14. 14. Example
  15. 15. Hype gone wrong! • The crowd needs to be provided with correct and useful input. • A terminological definition • Mandatory terminological data • Each project needs a specific crowd. • The crowd cannot do prescriptive terminology work. • User interface can’t do it all, but it is important, too.
  16. 16. TOOLS
  17. 17. What do TMSs need?
  18. 18. What do TMSs need? • Commenting features • Voting features • Statistics and evaluation • Polished! • Terminologists deal with dozens of entries a day.
  19. 19. Conclusion • Push for new functionality in TMSs • Awareness for terminology issues • Access to input • Be adamant that a terminologist be part of the process

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