The time spent looking for and not finding information cost an organization a total of $6 million a year, not including opportunity costs or the costs of reworking existing information that could not be located. Only 41% of localization-mature organizations have some terminology management policy in place, almost solely translation-oriented. Then we must show how terminology management works, demonstrate its power, through controlled languages, ontologies, search engine applications, content and knowledge management applications, and e-learning systems.
2. Awareness
Globally active organizations whose core
business is not communications-related
(translation, localization, information
management, etc.) are generally unaware
of the benefits of performing terminology
management.
KaraWarburton, LISA, 2001
Term Mining andTerminology Management in a Corporate Setting Perspective
3. Translation-
oriented
terminology
Only 41% of localization-mature
organizations have some terminology
management policy in place, almost solely
translation-oriented
Term Mining andTerminology Management in a Corporate Setting Perspective
4. Scope
• Technical documentation
• Controlled languages
• Translation and localization
• Translation automation
• Content and Knowledge Management Systems
• Knowledge organization
• Taxonomies and ontologies
• Learning Management Systems
• Knowledge nugget (knowledge representation)
• Self-contained reusable educational entities (Learning Object Metadata, IEEE
1484.12.1)
• Marketing management
• Customer service
• SEM/SEO
• Sentiment analysis
Term Mining andTerminology Management in a Corporate Setting Perspective
6. Costs
(IDC,2004)
• Productivity of knowledge workers
• 15% to 35% searching for information
• Successfully completed 50% of the time or less
• Only 21% found the information they needed 85% to 100% of the time
• $6 million a year looking for and not finding information
• 15% of time for duplicating existing information
• Opportunity costs
• Reworking existing information that could not be located
• $12 million a year
Term Mining andTerminology Management in a Corporate Setting Perspective
7. Terminology
cost multiplier
(JörgSchütz/RitaNübel)
Term Mining andTerminology Management in a Corporate Setting Perspective
Product data
Documentation development
Authoring
Editing
Approval
Localization
Maintenance
0.1 - 0.2
0.5
1.0
2.0
5.0
10.0
20.0
8. Indexing for
searching
• 15’ per query
• 3.75’ per day
• $500 per adult worker per year
• 160 hours of reading each and every
week
Term Mining andTerminology Management in a Corporate Setting Perspective
9. Costs/Benefits
• Huge costs in the short term
• $150 per terminological entry (J.D. Edwards, 2001)
• The practical value does not match the
technical value
Term Mining andTerminology Management in a Corporate Setting Perspective
10. Accuracy Fundamental accuracy of statement is
the one sole morality of writing.
Term Mining andTerminology Management in a Corporate Setting Perspective
11. Payback
• Cost reduction
• Authoring, localization, training, customer service
• Overhead
• Time reduction in the production cycle
• Immediate 1% payback for larger businesses
• Productivity increase
• Time-to-market
• Qualitative improvements
• Branding
• Safety
Term Mining andTerminology Management in a Corporate Setting Perspective
12. Controlled
languages
The most valuable of all talents is that of
never using two words when one will do.
Term Mining andTerminology Management in a Corporate Setting Perspective
13. Fatal errors
• The LinateAirport disaster (Oct 8, 2001)
• Deficiencies in the airport layout and procedures
• Violations of ICAO regulations
• Incorrect signs to runway
• Incorrect, uncorrected readback
• Non-standard phraseology
• Irrelevant term (extension) leading to fatal misunderstanding
Term Mining andTerminology Management in a Corporate Setting Perspective
14. Keywords
advertising
Rem tene, verba sequentur
(Keep to the subject, words will follow)
Marcus Porcius Cato (Cato the Censor)
Term Mining andTerminology Management in a Corporate Setting Perspective
15. The long tail
Rerum enim copia verborum copiam gignit
(All this gives rise to a plethora of words)
Cicero
Term Mining andTerminology Management in a Corporate Setting Perspective
16. Term mining
• Complex knowledge-intensive task
• Different approach for different scope
• Hard to grasp in a corporate setting perspective
• Business intelligence
Term Mining andTerminology Management in a Corporate Setting Perspective
17. Mining terms
• Linguistic approach
• Based on rules and dictionaries
• Collocations
• One language at a time
• Issues
• Loans
• Synonyms, variants,
abbreviations
• Ellipses
• Improper usage
• Bitext
• Knowledge bases
• Knowledge discovery
• Statistical approach
• Language independent
• Based on frequency
• Repeated sequences of
syntagmas
• The frequency threshold
must be specified
• Frequency does not necessarily
means importance
• Much “noise”
• Monolingual corpus
• Indices
• Controlled languages
• Keywords
• TQA
Term Mining andTerminology Management in a Corporate Setting Perspective
18. TaaS test drive
• Building a Localization Kit
• 13688 words, 142 repetitions
• memoQTerm Extraction
• Statistical analysis
• 815 term entries from the English document
• 647 term entries from translation memory
• Tilde Wrapper System for CollTerm (TWSC)
• Linguistic analysis enriched by statistical features
• 3046 term entries
• KilgrayTerminology extractor
• Statistical analysis
• 3218 term entries
Term Mining andTerminology Management in a Corporate Setting Perspective
19. Complexity
problems
If all you have is a hammer, everything
looks like a nail
Term Mining andTerminology Management in a Corporate Setting Perspective
20. Terminology
management
in the cloud
Pros
• ZeroTCO
• Availability and deployability
• Collaboration features
Cons
• Limited scalability
• Security issues
• Integration costs
Term Mining andTerminology Management in a Corporate Setting Perspective
21. ROI
The proof of performance, i.e. ROI
considerations, of terminology
management within the corporate setting
is a challenge for future projects.
Stefan Kremer, 2005
Term Mining andTerminology Management in a Corporate Setting Perspective