Competencies
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Data Conversion
Knowledge of methods and tools for data conversion and cleanup.
Rationale:
Many time language Technologists need to assist a language workers to cleanup their data to make it consistent or to convert their data from one format to another.
Assessment Criteria:
Can use and teach a scripting language to do data conversion and cleanup.
Growth Activities
The following activities have been identified to achieve comptency in Data Conversion in levels from Learner to Expert.
Has Knowledge:
Learn how to do advanced search and replace in text
With Assistance:
Learn to use a scripting language to replace strings according to context
Independent:
Use a scripting language environment to clean up or convert data.
Proficient:
Teach and mentor others in the use of a scripting language environment to clean up or convert data.
Expert:
Use a programming language (i.e. Perl or Python) to write more complex data conversion or cleanup routines.