Language Maintenance and Low Resource Languages

This we week we will look at making wordnets for low resource languages (slides)

Key Topics

• FAIR principles — why each principle matters:
  • Findable: so others (and your future self) can actually discover the work.
  • Accessible: so once found, the work can be retrieved safely and clearly.
  • Interoperable: so work can combine with other work across tools and languages.
  • Reusable: so the community can build on it—thanks to documentation and licensing.
• Open licences and the Open Definition; when and when not to use open licences.
• CARE principles
  • Collective Benefit: Who gains from sharing this data?
  • Authority to Control: Who decides how it can be used?
  • Responsibility: Are researchers accountable to those represented?
  • Ethics: How can openness coexist with respect and consent?

References

• Wilkinson, M. D., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. DOI: 10.1038/sdata.2016.18
• Carroll, S. R., et al. (2020). The CARE Principles for Indigenous Data Governance. Data Science Journal, 19, 43. DOI: 10.5334/dsj-2020-043
• Open Knowledge Foundation. (2015). The Open Definition (Version 2.1).